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Hao Y, Li B, Huang D, Wu S, Wang T, Fu L, Liu X. Developing a Semi-Supervised Approach Using a PU-Learning-Based Data Augmentation Strategy for Multitarget Drug Discovery. Int J Mol Sci 2024; 25:8239. [PMID: 39125808 PMCID: PMC11312053 DOI: 10.3390/ijms25158239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/26/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
Multifactorial diseases demand therapeutics that can modulate multiple targets for enhanced safety and efficacy, yet the clinical approval of multitarget drugs remains rare. The integration of machine learning (ML) and deep learning (DL) in drug discovery has revolutionized virtual screening. This study investigates the synergy between ML/DL methodologies, molecular representations, and data augmentation strategies. Notably, we found that SVM can match or even surpass the performance of state-of-the-art DL methods. However, conventional data augmentation often involves a trade-off between the true positive rate and false positive rate. To address this, we introduce Negative-Augmented PU-bagging (NAPU-bagging) SVM, a novel semi-supervised learning framework. By leveraging ensemble SVM classifiers trained on resampled bags containing positive, negative, and unlabeled data, our approach is capable of managing false positive rates while maintaining high recall rates. We applied this method to the identification of multitarget-directed ligands (MTDLs), where high recall rates are critical for compiling a list of interaction candidate compounds. Case studies demonstrate that NAPU-bagging SVM can identify structurally novel MTDL hits for ALK-EGFR with favorable docking scores and binding modes, as well as pan-agonists for dopamine receptors. The NAPU-bagging SVM methodology should serve as a promising avenue to virtual screening, especially for the discovery of MTDLs.
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Affiliation(s)
- Yang Hao
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZX, UK
| | - Bo Li
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZX, UK
| | - Daiyun Huang
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
- School of Life Sciences, Fudan University, Shanghai 200092, China
| | - Sijin Wu
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
| | - Tianjun Wang
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZX, UK
| | - Lei Fu
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
| | - Xin Liu
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China; (Y.H.); (B.L.); (S.W.); (T.W.); (L.F.)
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2
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Niazi SK, Magoola M, Mariam Z. Innovative Therapeutic Strategies in Alzheimer's Disease: A Synergistic Approach to Neurodegenerative Disorders. Pharmaceuticals (Basel) 2024; 17:741. [PMID: 38931409 PMCID: PMC11206655 DOI: 10.3390/ph17060741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Alzheimer's disease (AD) remains a significant challenge in the field of neurodegenerative disorders, even nearly a century after its discovery, due to the elusive nature of its causes. The development of drugs that target multiple aspects of the disease has emerged as a promising strategy to address the complexities of AD and related conditions. The immune system's role, particularly in AD, has gained considerable interest, with nanobodies representing a new frontier in biomedical research. Advances in targeting antibodies against amyloid-β (Aβ) and using messenger RNA for genetic translation have revolutionized the production of antibodies and drug development, opening new possibilities for treatment. Despite these advancements, conventional therapies for AD, such as Cognex, Exelon, Razadyne, and Aricept, often have limited long-term effectiveness, underscoring the need for innovative solutions. This necessity has led to the incorporation advanced technologies like artificial intelligence and machine learning into the drug discovery process for neurodegenerative diseases. These technologies help identify therapeutic targets and optimize lead compounds, offering a more effective approach to addressing the challenges of AD and similar conditions.
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Affiliation(s)
| | | | - Zamara Mariam
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 5FB, UK
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3
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Ebrahimi M, Alijanianzadeh M. Evaluation of the interaction between potent small molecules against the Nipah virus Glycoprotein in Malaysia and Bangladesh strains, accompanied by the human Ephrin-B2 and Ephrin-B3 receptors; a simulation approach. Mol Divers 2024; 28:851-874. [PMID: 36808582 PMCID: PMC9939871 DOI: 10.1007/s11030-023-10624-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 02/10/2023] [Indexed: 02/23/2023]
Abstract
Malaysia reported the first human case of Nipah virus (NiV) in late September 1998 with encephalitis and respiratory symptoms. As a result of viral genomic mutations, two main strains (NiV-Malaysia and NiV-Bangladesh) have spread around the world. There are no licensed molecular therapeutics available for this biosafety level 4 pathogen. NiV attachment glycoprotein plays a critical role in viral transmission through its human receptors (Ephrin-B2 and Ephrin-B3), so identifying small molecules that can be repurposed to inhibit them is crucial to developing anti-NiV drugs. Consequently, in this study annealing simulations, pharmacophore modeling, molecular docking, and molecular dynamics were used to evaluate seven potential drugs (Pemirolast, Nitrofurantoin, Isoniazid Pyruvate, Eriodictyol, Cepharanthine, Ergoloid, and Hypericin) against NiV-G, Ephrin-B2, and Ephrin-B3 receptors. Based on the annealing analysis, Pemirolast for efnb2 protein and Isoniazid Pyruvate for efnb3 receptor were repurposed as the most promising small molecule candidates. Furthermore, Hypericin and Cepharanthine, with notable interaction values, are the top Glycoprotein inhibitors in Malaysia and Bangladesh strains, respectively. In addition, docking calculations revealed that their binding affinity scores are related to efnb2-pem (- 7.1 kcal/mol), efnb3-iso (- 5.8 kcal/mol), gm-hyp (- 9.6 kcal/mol), gb-ceph (- 9.2 kcal/mol). Finally, our computational research minimizes the time-consuming aspects and provides options for dealing with any new variants of Nipah virus that might emerge in the future.
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Affiliation(s)
- Maryam Ebrahimi
- Department of Plant Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Mahdi Alijanianzadeh
- Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
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Maddeboina K, Yada B, Kumari S, McHale C, Pal D, Durden DL. Recent advances in multitarget-directed ligands via in silico drug discovery. Drug Discov Today 2024; 29:103904. [PMID: 38280625 DOI: 10.1016/j.drudis.2024.103904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/11/2024] [Accepted: 01/23/2024] [Indexed: 01/29/2024]
Abstract
To combat multifactorial refractory diseases, such as cancer, cardiovascular, and neurodegenerative diseases, multitarget drugs have become an emerging area of research aimed at 'synthetic lethality' (SL) relationships associated with drug-resistance mechanisms. In this review, we discuss the in silico design of dual and triple-targeted ligands, strategies by which specific 'warhead' groups are incorporated into a parent compound or scaffold with primary inhibitory activity against one target to develop one small molecule that inhibits two or three molecular targets in an effort to increase potency against multifactorial diseases. We also discuss the analytical exploration of structure-activity relationships (SARs), physicochemical properties, polypharmacology, scaffold feature extraction of US Food and Drug Administration (FDA)-approved multikinase inhibitors (MKIs), and updates regarding the clinical status of dual-targeted chemotypes.
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Affiliation(s)
- Krishnaiah Maddeboina
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA; Department of Biochemistry, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
| | - Bharath Yada
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA
| | - Shikha Kumari
- Department of Chemistry, Yale University, 225 Prospect Street, New Haven, CT 06520, USA
| | - Cody McHale
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA
| | - Dhananjaya Pal
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA
| | - Donald L Durden
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA; Department of Biochemistry, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
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5
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Eissa IH, Yousef RG, Elkady H, Elkaeed EB, Alsfouk AA, Husein DZ, Ibrahim IM, Radwan MM, Metwaly AM. A Theobromine Derivative with Anticancer Properties Targeting VEGFR-2: Semisynthesis, in silico and in vitro Studies. ChemistryOpen 2023; 12:e202300066. [PMID: 37803417 PMCID: PMC10558427 DOI: 10.1002/open.202300066] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/23/2023] [Indexed: 10/08/2023] Open
Abstract
A computer-assisted drug design (CADD) approach was utilized to design a new acetamido-N-(para-fluorophenyl)benzamide) derivative of the naturally occurring alkaloid, theobromine, (T-1-APFPB), following the pharmacophoric features of VEGFR-2 inhibitors. The stability and reactivity of T-1-AFPB were assessed through density functional theory (DFT) calculations. Molecular docking assessments showed T-1-AFPB's potential to bind with and inhibit VEGFR-2. The precise binding of T-1-AFPB against VEGFR-2 with optimal energy was further confirmed through several molecular dynamics (MD) simulations, PLIP, MM-GBSA, and PCA studies. Then, T-1-AFPB (4-(2-(3,7-Dimethyl-2,6-dioxo-2,3,6,7-tetrahydro-1H-purin-1-yl)acetamido)-N-(4-fluorophenyl)benzamide) was semi-synthesized and the in vitro assays showed its potential to inhibit VEGFR-2 with an IC50 value of 69 nM (sorafenib's IC50 was 56 nM) and to inhibit the growth of HepG2 and MCF-7 cancer cell lines with IC50 values of 2.24±0.02 and 3.26±0.02 μM, respectively. Moreover, T-1-AFPB displayed very high selectivity indices against normal Vero cell lines. Furthermore, T-1-AFPB induced early (from 0.72 to 19.12) and late (from 0.13 to 6.37) apoptosis in HepG2 cell lines. In conclusion, the combined computational and experimental approaches demonstrated the efficacy and safety of T-1-APFPB providing it as a promising lead VEGFR-2 inhibitor for further development aiming at cancer therapy.
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Affiliation(s)
- Ibrahim H. Eissa
- Pharmaceutical Medicinal Chemistry & Drug Design DepartmentFaculty of Pharmacy (Boys)Al-Azhar UniversityCairo11884Egypt
| | - Reda G. Yousef
- Pharmaceutical Medicinal Chemistry & Drug Design DepartmentFaculty of Pharmacy (Boys)Al-Azhar UniversityCairo11884Egypt
| | - Hazem Elkady
- Pharmaceutical Medicinal Chemistry & Drug Design DepartmentFaculty of Pharmacy (Boys)Al-Azhar UniversityCairo11884Egypt
| | - Eslam B. Elkaeed
- Department of Pharmaceutical SciencesCollege of PharmacyAlMaarefa UniversityRiyadh13713Saudi Arabia
| | - Aisha A. Alsfouk
- Department of Pharmaceutical SciencesCollege of PharmacyPrincess Nourah bint Abdulrahman UniversityP.O. Box 84428Riyadh11671Saudi Arabia
| | - Dalal Z. Husein
- Chemistry DepartmentFaculty of ScienceNew Valley UniversityEl-Kharja72511Egypt
| | | | - Mohamed M. Radwan
- National Center for Natural Products ResearchUniversity of MississippiMississippiMS 38677USA
- Department of PharmacognosyFaculty of PharmacyAlexandria UniversityAlexandriaEgypt
| | - Ahmed M. Metwaly
- Pharmacognosy and Medicinal Plants DepartmentFaculty of Pharmacy (Boys)Al-Azhar UniversityCairo11884Egypt
- Biopharmaceutical Products Research DepartmentGenetic Engineering and Biotechnology Research InstituteCity of Scientific Research and Technological Applications (SRTA-City)AlexandriaEgypt
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In silico approach of novel HPPD/PDS dual target inhibitors by pharmacophore, AILDE and molecular docking. J Taiwan Inst Chem Eng 2023. [DOI: 10.1016/j.jtice.2023.104711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Belakhov VV. Polyfunctional Drugs: Search, Development, Use in Medical Practice, and Environmental Aspects of Preparation and Application (A Review). RUSS J GEN CHEM+ 2022. [DOI: 10.1134/s1070363222130047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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Ahmad W, Ansari MA, Alsayari A, Almaghaslah D, Wahab S, Alomary MN, Jamal QMS, Khan FA, Ali A, Alam P, Elderdery AY. In Vitro, Molecular Docking and In Silico ADME/Tox Studies of Emodin and Chrysophanol against Human Colorectal and Cervical Carcinoma. Pharmaceuticals (Basel) 2022; 15:1348. [PMID: 36355520 PMCID: PMC9697597 DOI: 10.3390/ph15111348] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 10/27/2022] [Accepted: 10/27/2022] [Indexed: 08/11/2023] Open
Abstract
Anthraquinones (AQs) are present in foods, dietary supplements, pharmaceuticals, and traditional treatments and have a wide spectrum of pharmacological activities. In the search for anti-cancer drugs, AQ derivatives are an important class. In this study, anthraquinone aglycons chrysophanol (Chr), emodin (EM) and FDA-approved anticancer drug fluorouracil were analyzed by molecular docking studies against receptor molecules caspase-3, apoptosis regulator Bcl-2, TRAF2 and NCK-interacting protein kinase (TNIK) and cyclin-dependent protein kinase 2 (CDK2) as novel candidates for future anticancer therapeutic development. The ADMET SAR database was used to predict the toxicity profile and pharmacokinetics of the Chr and EM. Furthermore, in silico results were validated by the in vitro anticancer activity against HCT-116 and HeLa cell lines to determine the anticancer effect. According to the docking studies simulated by the docking program AutoDock Vina 4.0, Chr and EM had good binding energies against the target proteins. It has been observed that Chr and EM show stronger molecular interaction than that of the FDA-approved anticancer drug fluorouracil. In the in vitro results, Chr and EM demonstrated promising anticancer activity in HCT-116 and HeLa cells. These findings lay the groundwork for the potential use of Chr and EM in the treatment of human colorectal and cervical carcinomas.
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Affiliation(s)
- Wasim Ahmad
- Department of Pharmacy, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia
| | - Mohammad Azam Ansari
- Department of Epidemic Disease Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Abdulrhman Alsayari
- Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
- Complementary and Alternative Medicine Unit, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
| | - Dalia Almaghaslah
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
| | - Shadma Wahab
- Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
- Complementary and Alternative Medicine Unit, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
| | - Mohammad N. Alomary
- National Centre for Biotechnology, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia
| | - Qazi Mohammad Sajid Jamal
- Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Firdos Alam Khan
- Department of Stem Cell Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
| | - Abuzer Ali
- Department of Pharmacognosy, College of Pharmacy, Taif University, Taif 21944, Saudi Arabia
| | - Prawez Alam
- Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11941, Saudi Arabia
| | - Abozer Y. Elderdery
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia
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Stern N, Gacs A, Tátrai E, Flachner B, Hajdú I, Dobi K, Bágyi I, Dormán G, Lőrincz Z, Cseh S, Kígyós A, Tóvári J, Goldblum A. Dual Inhibitors of AChE and BACE-1 for Reducing Aβ in Alzheimer's Disease: From In Silico to In Vivo. Int J Mol Sci 2022; 23:13098. [PMID: 36361906 PMCID: PMC9655245 DOI: 10.3390/ijms232113098] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/03/2022] [Accepted: 10/05/2022] [Indexed: 07/30/2023] Open
Abstract
Alzheimer's disease (AD) is a complex and widespread condition, still not fully understood and with no cure yet. Amyloid beta (Aβ) peptide is suspected to be a major cause of AD, and therefore, simultaneously blocking its formation and aggregation by inhibition of the enzymes BACE-1 (β-secretase) and AChE (acetylcholinesterase) by a single inhibitor may be an effective therapeutic approach, as compared to blocking one of these targets or by combining two drugs, one for each of these targets. We used our ISE algorithm to model each of the AChE peripheral site inhibitors and BACE-1 inhibitors, on the basis of published data, and constructed classification models for each. Subsequently, we screened large molecular databases with both models. Top scored molecules were docked into AChE and BACE-1 crystal structures, and 36 Molecules with the best weighted scores (based on ISE indexes and docking results) were sent for inhibition studies on the two enzymes. Two of them inhibited both AChE (IC50 between 4-7 μM) and BACE-1 (IC50 between 50-65 μM). Two additional molecules inhibited only AChE, and another two molecules inhibited only BACE-1. Preliminary testing of inhibition by F681-0222 (molecule 2) on APPswe/PS1dE9 transgenic mice shows a reduction in brain tissue of soluble Aβ42.
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Affiliation(s)
- Noa Stern
- Molecular Modeling and Drug Design Lab, Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Alexandra Gacs
- Department of Experimental Pharmacology, National Institute of Oncology, H-1122 Budapest, Hungary
| | - Enikő Tátrai
- Department of Experimental Pharmacology, National Institute of Oncology, H-1122 Budapest, Hungary
- KINETO Lab Ltd., H-1032 Budapest, Hungary
| | | | - István Hajdú
- TargetEx Ltd., H-2120 Dunakeszi, Hungary
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary
| | | | | | | | | | | | | | - József Tóvári
- KINETO Lab Ltd., H-1032 Budapest, Hungary
- Department of Tumor Biology, National Korányi Institute of TB and Pulmonology, H-1121 Budapest, Hungary
| | - Amiram Goldblum
- Molecular Modeling and Drug Design Lab, Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
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Randhawa V, Pathania S, Kumar M. Computational Identification of Potential Multitarget Inhibitors of Nipah Virus by Molecular Docking and Molecular Dynamics. Microorganisms 2022; 10:microorganisms10061181. [PMID: 35744699 PMCID: PMC9227315 DOI: 10.3390/microorganisms10061181] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 02/04/2023] Open
Abstract
Nipah virus (NiV) is a recently emerged paramyxovirus that causes severe encephalitis and respiratory diseases in humans. Despite the severe pathogenicity of this virus and its pandemic potential, not even a single type of molecular therapeutics has been approved for human use. Considering the role of NiV attachment glycoprotein G (NiV-G), fusion glycoprotein (NiV-F), and nucleoprotein (NiV-N) in virus replication and spread, these are the most attractive targets for anti-NiV drug discovery. Therefore, to prospect for potential multitarget chemical/phytochemical inhibitor(s) against NiV, a sequential molecular docking and molecular-dynamics-based approach was implemented by simultaneously targeting NiV-G, NiV-F, and NiV-N. Information on potential NiV inhibitors was compiled from the literature, and their 3D structures were drawn manually, while the information and 3D structures of phytochemicals were retrieved from the established structural databases. Molecules were docked against NiV-G (PDB ID:2VSM), NiV-F (PDB ID:5EVM), and NiV-N (PDB ID:4CO6) and then prioritized based on (1) strong protein-binding affinity, (2) interactions with critically important binding-site residues, (3) ADME and pharmacokinetic properties, and (4) structural stability within the binding site. The molecules that bind to all the three viral proteins (NiV-G ∩ NiV-F ∩ NiV-N) were considered multitarget inhibitors. This study identified phytochemical molecules RASE0125 (17-O-Acetyl-nortetraphyllicine) and CARS0358 (NA) as distinct multitarget inhibitors of all three viral proteins, and chemical molecule ND_nw_193 (RSV604) as an inhibitor of NiV-G and NiV-N. We expect the identified compounds to be potential candidates for in vitro and in vivo antiviral studies, followed by clinical treatment of NiV.
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Affiliation(s)
- Vinay Randhawa
- Virology Discovery Unit and Bioinformatics Centre, CSIR-Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh 160036, India; (V.R.); (S.P.)
| | - Shivalika Pathania
- Virology Discovery Unit and Bioinformatics Centre, CSIR-Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh 160036, India; (V.R.); (S.P.)
| | - Manoj Kumar
- Virology Discovery Unit and Bioinformatics Centre, CSIR-Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh 160036, India; (V.R.); (S.P.)
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Correspondence: ; Tel.: +91-172-6665453
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11
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Jiang Q, Li M, Li H, Chen L. Entrectinib, a new multi-target inhibitor for cancer therapy. Biomed Pharmacother 2022; 150:112974. [PMID: 35447552 DOI: 10.1016/j.biopha.2022.112974] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/29/2022] [Accepted: 04/12/2022] [Indexed: 11/29/2022] Open
Abstract
Clinical practice shows that when single-target drugs treat multi-factor diseases such as tumors, cardiovascular system and endocrine system diseases, it is often difficult to achieve good therapeutic effects, and even serious adverse reactions may occur. Multi-target drugs can simultaneously regulate multiple links of disease, improve efficacy, reduce adverse reactions, and improve drug resistance. They are ideal drugs for treating complex diseases, and therefore have become the main direction of drug development. At present, some multi-target drugs have been successfully used in many major diseases. Entrectinib is an oral small molecule inhibitor that targets TRK, ROS1, and ALK. It is used to treat locally advanced or metastatic solid tumors with NTRK1/2/3, ROS1 and ALK gene fusion mutations. It can pass through the blood-brain barrier and is the only TRK inhibitor clinically proven to be effective against primary and metastatic brain diseases. In 2019, entrectinib was approved by the FDA to treat adult patients with ROS1-positive metastatic non-small cell lung cancer. Case reports showed that continuous administration of entrectinib was effective and tolerable. In this review, we give a brief introduction to TKK, ROS1 and ALK, and on this basis, we give a detailed and comprehensive introduction to the mechanism of action, pharmacokinetics, pharmacodynamics, clinical efficacy, tolerability and drug interactions of entrectinib.
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Affiliation(s)
- Qinghua Jiang
- Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang 110004, China.
| | - Mingxue Li
- Wuya College of Innovation, School of Pharmacy, Key Laboratory of Structure-Based Drug Design & Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Hua Li
- Wuya College of Innovation, School of Pharmacy, Key Laboratory of Structure-Based Drug Design & Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China; Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation, School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Lixia Chen
- Wuya College of Innovation, School of Pharmacy, Key Laboratory of Structure-Based Drug Design & Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China.
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Design, synthesis, and behavioral evaluation of dual-acting compounds as phosphodiesterase type 10A (PDE10A) inhibitors and serotonin ligands targeting neuropsychiatric symptoms in dementia. Eur J Med Chem 2022; 233:114218. [DOI: 10.1016/j.ejmech.2022.114218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/09/2022] [Accepted: 02/21/2022] [Indexed: 01/21/2023]
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13
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Valdés-Jiménez A, Jiménez-González D, Kiper AK, Rinné S, Decher N, González W, Reyes-Parada M, Núñez-Vivanco G. A New Strategy for Multitarget Drug Discovery/Repositioning Through the Identification of Similar 3D Amino Acid Patterns Among Proteins Structures: The Case of Tafluprost and its Effects on Cardiac Ion Channels. Front Pharmacol 2022; 13:855792. [PMID: 35370665 PMCID: PMC8971525 DOI: 10.3389/fphar.2022.855792] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 02/21/2022] [Indexed: 01/01/2023] Open
Abstract
The identification of similar three-dimensional (3D) amino acid patterns among different proteins might be helpful to explain the polypharmacological profile of many currently used drugs. Also, it would be a reasonable first step for the design of novel multitarget compounds. Most of the current computational tools employed for this aim are limited to the comparisons among known binding sites, and do not consider several additional important 3D patterns such as allosteric sites or other conserved motifs. In the present work, we introduce Geomfinder2.0, which is a new and improved version of our previously described algorithm for the deep exploration and discovery of similar and druggable 3D patterns. As compared with the original version, substantial improvements that have been incorporated to our software allow: (i) to compare quaternary structures, (ii) to deal with a list of pairs of structures, (iii) to know how druggable is the zone where similar 3D patterns are detected and (iv) to significantly reduce the execution time. Thus, the new algorithm achieves up to 353x speedup as compared to the previous sequential version, allowing the exploration of a significant number of quaternary structures in a reasonable time. In order to illustrate the potential of the updated Geomfinder version, we show a case of use in which similar 3D patterns were detected in the cardiac ions channels NaV1.5 and TASK-1. These channels are quite different in terms of structure, sequence and function and both have been regarded as important targets for drugs aimed at treating atrial fibrillation. Finally, we describe the in vitro effects of tafluprost (a drug currently used to treat glaucoma, which was identified as a novel putative ligand of NaV1.5 and TASK-1) upon both ion channels’ activity and discuss its possible repositioning as a novel antiarrhythmic drug.
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Affiliation(s)
- Alejandro Valdés-Jiménez
- Center for Bioinformatics, Simulations and Modelling, Faculty of Engineering, University of Talca, Talca, Chile
- Computer Architecture Department, Universitat Politécnica de Catalunya, Barcelona, Spain
| | - Daniel Jiménez-González
- Computer Architecture Department, Universitat Politécnica de Catalunya, Barcelona, Spain
- Barcelona Supercomputing Center, Barcelona, Spain
| | - Aytug K. Kiper
- Institute for Physiology and Pathophysiology, Philipps-University Marburg, Marburg, Germany
| | - Susanne Rinné
- Institute for Physiology and Pathophysiology, Philipps-University Marburg, Marburg, Germany
| | - Niels Decher
- Institute for Physiology and Pathophysiology, Philipps-University Marburg, Marburg, Germany
| | - Wendy González
- Center for Bioinformatics, Simulations and Modelling, Faculty of Engineering, University of Talca, Talca, Chile
- Millennium Nucleus of Ion Channels-Associated Diseases (MiNICAD), Universidad de Talca, Talca, Chile
- *Correspondence: Wendy González, ; Miguel Reyes-Parada, ; Gabriel Núñez-Vivanco,
| | - Miguel Reyes-Parada
- Centro de Investigación Biomédica y Aplicada (CIBAP), Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
- *Correspondence: Wendy González, ; Miguel Reyes-Parada, ; Gabriel Núñez-Vivanco,
| | - Gabriel Núñez-Vivanco
- Departamento de Ciencias Naturales y Tecnología, Universidad de Aysén, Coyhaique, Chile
- *Correspondence: Wendy González, ; Miguel Reyes-Parada, ; Gabriel Núñez-Vivanco,
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14
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Multitarget-Based Virtual Screening for Identification of Herbal Substances toward Potential Osteoclastic Targets. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12052621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Osteoporosis is a complex bone disease indicating porous bone with low bone mass density and fragility. Cathepsin K, V-ATPase, and αVβ3 integrin are exhibited as novel targets for osteoporosis treatment. Our preliminary study uses a state-of-the-art method, including target-based virtual screening and clustering methods to determine promising candidates with multitarget properties. Phytochemicals with osteoprotective properties from the literature are used to elucidate the molecular interactions toward three targets. The binding scores of compounds are normalized and rescored. The K-means and hierarchical clustering methods are applied to filter and define the promising compounds, and the silhouette analysis is supposed to validate the clustering method. We explore 108 herbal compounds by virtual screening and the cluster approach, and find that rutin, sagittatoside A, icariin, and kaempferitrin showed strong binding affinities against Cathepsin K, V-ATPase, and αVβ3 integrin. Dockings of candidates toward three targets also provide the protein-ligand interactions and crucial amino acids for binding. Our study provides a straightforward and less time-consuming approach to exploring the new multitarget candidates for further investigations, using a combination of in silico methods.
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15
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Chen T, Sun T, Bian Y, Pei Y, Feng F, Chi H, Li Y, Tang X, Sang S, Du C, Chen Y, Chen Y, Sun H. The Design and Optimization of Monomeric Multitarget Peptides for the Treatment of Multifactorial Diseases. J Med Chem 2022; 65:3685-3705. [DOI: 10.1021/acs.jmedchem.1c01456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Tingkai Chen
- School of Pharmacy, China Pharmaceutical University, Nanjing 211198, People’s Republic of China
| | - Tianyu Sun
- School of Pharmacy, China Pharmaceutical University, Nanjing 211198, People’s Republic of China
| | - Yaoyao Bian
- College of Acupuncture and Massage, College of Regimen and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, People’s Republic of China
| | - Yuqiong Pei
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, People’s Republic of China
| | - Feng Feng
- Food and Pharmaceutical Research Institute, Jiangsu Food and Pharmaceuticals Science College, Huaian 223003, People’s Republic of China
| | - Heng Chi
- Food and Pharmaceutical Research Institute, Jiangsu Food and Pharmaceuticals Science College, Huaian 223003, People’s Republic of China
| | - Yuan Li
- Department of Pharmaceutical Engineering, Jiangsu Food and Pharmaceuticals Science College, Huaian 223005, People’s Republic of China
| | - Xu Tang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, People’s Republic of China
| | - Shenghu Sang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, People’s Republic of China
| | - Chenxi Du
- School of Pharmacy, China Pharmaceutical University, Nanjing 211198, People’s Republic of China
| | - Ying Chen
- School of Pharmacy, China Pharmaceutical University, Nanjing 211198, People’s Republic of China
| | - Yao Chen
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, People’s Republic of China
| | - Haopeng Sun
- School of Pharmacy, China Pharmaceutical University, Nanjing 211198, People’s Republic of China
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16
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Investigation of glutathione as a natural antioxidant and multitarget inhibitor for Alzheimer’s disease: Insights from molecular simulations. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117960] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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17
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Castro LHE, Sant'Anna CMR. Molecular Modeling Techniques Applied to the Design of Multitarget Drugs: Methods and Applications. Curr Top Med Chem 2021; 22:333-346. [PMID: 34844540 DOI: 10.2174/1568026621666211129140958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/23/2021] [Accepted: 10/28/2021] [Indexed: 11/22/2022]
Abstract
Multifactorial diseases, such as cancer and diabetes present a challenge for the traditional "one-target, one disease" paradigm due to their complex pathogenic mechanisms. Although a combination of drugs can be used, a multitarget drug may be a better choice face of its efficacy, lower adverse effects and lower chance of resistance development. The computer-based design of these multitarget drugs can explore the same techniques used for single-target drug design, but the difficulties associated to the obtention of drugs that are capable of modulating two or more targets with similar efficacy impose new challenges, whose solutions involve the adaptation of known techniques and also to the development of new ones, including machine-learning approaches. In this review, some SBDD and LBDD techniques for the multitarget drug design are discussed, together with some cases where the application of such techniques led to effective multitarget ligands.
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Affiliation(s)
| | - Carlos Mauricio R Sant'Anna
- Programa de Pós-Graduação em Química, Instituto de Química, Universidade Federal Rural do Rio de Janeiro, Seropédica. Brazil
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18
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Jiang M, Chu Y, Yang T, Li W, Zhang Z, Sun H, Liang H, Yang F. Developing a Novel Indium(III) Agent Based on Liposomes to Overcome Cisplatin-Induced Resistance in Breast Cancer by Multitargeting the Tumor Microenvironment Components. J Med Chem 2021; 64:14587-14602. [PMID: 34609868 DOI: 10.1021/acs.jmedchem.1c01068] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
To overcome the resistance of cancer cells to platinum-based drugs and effectively suppress tumor growth, we developed a novel indium (In) agent based on liposomes (Lips). Thus, we not only obtained an In(III) thiosemicarbazone agent (5b) with remarkable cytotoxicity by optimizing a series of In(III) thiosemicarbazone agents (1b-5b) but also successfully constructed a novel 5b-loaded Lip (5b-Lip) delivery system. Importantly, in vitro and in vivo results revealed that 5b/5b-Lip overcame the tumor cell resistance and effectively inhibited MCF-7/DDP tumor growth. In addition, Lips improved the intracellular accumulation of 5b. We also confirmed the mechanism by which 5b/5b-Lip overcomes breast cancer cell resistance. 5b/5b-Lip cannot act against DNA in cancer cells but attacks the two cell components in the tumor microenvironment, namely, by inducing apoptosis and lethal autophagy of cancer cells and resetting tumor-promoting M2 macrophages to the tumor-killing M1 phenotype.
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Affiliation(s)
- Ming Jiang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China.,School of Food and Biochemical Engineering, Guangxi Science & Technology Normal University, Laibin, Guangxi 546199, China
| | - Yong Chu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Tongfu Yang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Wenjuan Li
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Zhenlei Zhang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Hongbin Sun
- Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease, China Pharmaceutical University, Nanjing, Jiangsu 210009, China
| | - Hong Liang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Feng Yang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin, Guangxi 541004, China
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19
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Koszła O, Stępnicki P, Zięba A, Grudzińska A, Matosiuk D, Kaczor AA. Current Approaches and Tools Used in Drug Development against Parkinson's Disease. Biomolecules 2021; 11:897. [PMID: 34208760 PMCID: PMC8235487 DOI: 10.3390/biom11060897] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/12/2021] [Accepted: 06/13/2021] [Indexed: 12/12/2022] Open
Abstract
Parkinson's disease is a progressive neurodegenerative disorder characterized by the death of nerve cells in the substantia nigra of the brain. The treatment options for this disease are very limited as currently the treatment is mainly symptomatic, and the available drugs are not able to completely stop the progression of the disease but only to slow it down. There is still a need to search for new compounds with the most optimal pharmacological profile that would stop the rapidly progressing disease. An increasing understanding of Parkinson's pathogenesis and the discovery of new molecular targets pave the way to develop new therapeutic agents. The use and selection of appropriate cell and animal models that better reflect pathogenic changes in the brain is a key aspect of the research. In addition, computer-assisted drug design methods are a promising approach to developing effective compounds with potential therapeutic effects. In light of the above, in this review, we present current approaches for developing new drugs for Parkinson's disease.
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Affiliation(s)
- Oliwia Koszła
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
| | - Piotr Stępnicki
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
| | - Agata Zięba
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
| | - Angelika Grudzińska
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
| | - Dariusz Matosiuk
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
| | - Agnieszka A. Kaczor
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20-093 Lublin, Poland; (O.K.); (P.S.); (A.Z.); (A.G.); (D.M.)
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland
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20
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Virtual Screening of Phytochemicals by Targeting HR1 Domain of SARS-CoV-2 S Protein: Molecular Docking, Molecular Dynamics Simulations, and DFT Studies. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6661191. [PMID: 34095308 PMCID: PMC8139335 DOI: 10.1155/2021/6661191] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 03/22/2021] [Accepted: 04/21/2021] [Indexed: 01/31/2023]
Abstract
The recent COVID-19 pandemic has impacted nearly the whole world due to its high morbidity and mortality rate. Thus, scientists around the globe are working to find potent drugs and designing an effective vaccine against COVID-19. Phytochemicals from medicinal plants are known to have a long history for the treatment of various pathogens and infections; thus, keeping this in mind, this study was performed to explore the potential of different phytochemicals as candidate inhibitors of the HR1 domain in SARS-CoV-2 spike protein by using computer-aided drug discovery methods. Initially, the pharmacological assessment was performed to study the drug-likeness properties of the phytochemicals for their safe human administration. Suitable compounds were subjected to molecular docking to screen strongly binding phytochemicals with HR1 while the stability of ligand binding was analyzed using molecular dynamics simulations. Quantum computation-based density functional theory (DFT) analysis was constituted to analyze the reactivity of these compounds with the receptor. Through analysis, 108 phytochemicals passed the pharmacological assessment and upon docking of these 108 phytochemicals, 36 were screened passing a threshold of -8.5 kcal/mol. After analyzing stability and reactivity, 5 phytochemicals, i.e., SilybinC, Isopomiferin, Lycopene, SilydianinB, and Silydianin are identified as novel and potent candidates for the inhibition of HR1 domain in SARS-CoV-2 spike protein. Based on these results, it is concluded that these compounds can play an important role in the design and development of a drug against COVID-19, after an exhaustive in vitro and in vivo examination of these compounds, in future.
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21
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Multiple Target Drug Design Using LigBuilder 3. Methods Mol Biol 2021. [PMID: 33759133 DOI: 10.1007/978-1-0716-1209-5_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Designing drugs that directly interact with multiple targets is a promising approach for treating complicated diseases. In order to successfully bind to multiple targets of different families and achieve the desired ligand efficiency, multi-target-directed ligands (MTDLs) require a higher level of diversity and complexity. De novo design strategies for creating more diverse chemical entities with desired properties may present an improved approach for developing MTDLs. In this chapter, we describe a computational protocol for developing MTDLs using the first reported multi-target de novo program, LigBuilder 3, which combines a binding site prediction module with de novo drug design and optimization modules. As an illustration of each detailed procedure, we design dual-functional compounds of two well-characterized virus enzymes, HIV protease and reverse transcriptase (PR and RT, respectively), using fragments extracted from known inhibitors. LigBuilder 3 is accessible at http://www.pkumdl.cn/ligbuilder3/ .
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22
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Kumari S, Deshmukh R. β-lactam antibiotics to tame down molecular pathways of Alzheimer's disease. Eur J Pharmacol 2021; 895:173877. [PMID: 33453224 DOI: 10.1016/j.ejphar.2021.173877] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/29/2020] [Accepted: 01/11/2021] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease is a multifactorial disorder characterized by extracellular accumulation of amyloid-β (Aβ) and intracellular accumulations of neurofibrillary tangles. Numerous drug targets have been explored for therapeutic efficacy but failed to deliver successful treatments clinically. However, over the years our understanding of the disease pathophysiology increased significantly. Many of the novel targets which can cure or modify disease pathology are being explored preclinically as well as clinically. On contrarily, the drug discovery and development process is lengthy and the cost involved makes it difficult for faster translation of therapeutic outcomes. Therefore, repurposing existing drugs for a new therapeutic indication is considered a better approach and helps in the fast translation of therapeutic information. The existing drugs have well-proven records on their safety, pharmacokinetics, etc. In recent years, beta (β)-lactam antibiotics have been repurposed for the management of neurodegenerative pathologies. Here in the current review, we have explored β-lactam antibiotics, their target sites, molecular mechanisms, and their therapeutic potential in Alzheimer's disease.
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Affiliation(s)
- Shilpa Kumari
- Department of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, 151001, Punjab, India
| | - Rahul Deshmukh
- Department of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, 151001, Punjab, India.
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23
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Cabrera-Andrade A, López-Cortés A, Jaramillo-Koupermann G, González-Díaz H, Pazos A, Munteanu CR, Pérez-Castillo Y, Tejera E. A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing. Pharmaceuticals (Basel) 2020; 13:ph13110409. [PMID: 33266378 PMCID: PMC7700154 DOI: 10.3390/ph13110409] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/11/2020] [Accepted: 11/12/2020] [Indexed: 02/08/2023] Open
Abstract
Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the limiting factors in treatments. We developed a multi-objective algorithm for the repurposing of new anti-osteosarcoma drugs, based on the modeling of molecules with described activity for HOS, MG63, SAOS2, and U2OS cell lines in the ChEMBL database. Several predictive models were obtained for each cell line and those with accuracy greater than 0.8 were integrated into a desirability function for the final multi-objective model. An exhaustive exploration of model combinations was carried out to obtain the best multi-objective model in virtual screening. For the top 1% of the screened list, the final model showed a BEDROC = 0.562, EF = 27.6, and AUC = 0.653. The repositioning was performed on 2218 molecules described in DrugBank. Within the top-ranked drugs, we found: temsirolimus, paclitaxel, sirolimus, everolimus, and cabazitaxel, which are antineoplastic drugs described in clinical trials for cancer in general. Interestingly, we found several broad-spectrum antibiotics and antiretroviral agents. This powerful model predicts several drugs that should be studied in depth to find new chemotherapy regimens and to propose new strategies for osteosarcoma treatment.
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Affiliation(s)
- Alejandro Cabrera-Andrade
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador;
- Carrera de Enfermería, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito 170125, Ecuador
- Department of Computer Science and Information Technologies, Faculty of Computer Science, University of A Coruña, CITIC, Campus Elviña s/n, 15071 A Coruña, Spain; (A.L.-C.); (A.P.); (C.R.M.)
- Correspondence: (A.C.-A.); (E.T.)
| | - Andrés López-Cortés
- Department of Computer Science and Information Technologies, Faculty of Computer Science, University of A Coruña, CITIC, Campus Elviña s/n, 15071 A Coruña, Spain; (A.L.-C.); (A.P.); (C.R.M.)
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170129, Ecuador
- Latin American Network for Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28029 Madrid, Spain
| | - Gabriela Jaramillo-Koupermann
- Laboratorio de Biología Molecular, Subproceso de Anatomía Patológica, Hospital de Especialidades Eugenio Espejo, Quito 170403, Ecuador;
| | - Humberto González-Díaz
- Department of Organic and Inorganic Chemistry, and Basque Center for Biophysics CSIC-UPV/EHU, University of the Basque Country UPV/EHU, 48940 Leioa, Spain;
- IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain
| | - Alejandro Pazos
- Department of Computer Science and Information Technologies, Faculty of Computer Science, University of A Coruña, CITIC, Campus Elviña s/n, 15071 A Coruña, Spain; (A.L.-C.); (A.P.); (C.R.M.)
- Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruña (CHUAC), 15006 A Coruña, Spain
| | - Cristian R. Munteanu
- Department of Computer Science and Information Technologies, Faculty of Computer Science, University of A Coruña, CITIC, Campus Elviña s/n, 15071 A Coruña, Spain; (A.L.-C.); (A.P.); (C.R.M.)
- Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruña (CHUAC), 15006 A Coruña, Spain
| | - Yunierkis Pérez-Castillo
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador;
- Escuela de Ciencias Físicas y Matemáticas, Universidad de Las Américas, Quito 170125, Ecuador
| | - Eduardo Tejera
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170125, Ecuador;
- Facultad de Ingeniería y Ciencias Agropecuarias, Universidad de Las Américas, Quito 170125, Ecuador
- Correspondence: (A.C.-A.); (E.T.)
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24
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Paudel P, Shrestha S, Park SE, Seong SH, Fauzi FM, Jung HA, Choi JS. Emodin Derivatives as Multi-Target-Directed Ligands Inhibiting Monoamine Oxidase and Antagonizing Vasopressin V 1A Receptors. ACS OMEGA 2020; 5:26720-26731. [PMID: 33110998 PMCID: PMC7581273 DOI: 10.1021/acsomega.0c03649] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 09/23/2020] [Indexed: 05/13/2023]
Abstract
The brain neurotransmitter level is associated with the pathology of various neurodegenerative diseases, and age-dependent increase in the blood level of vasopressin, human brain monoamine oxidase (hMAO) level, oxidative stress, and imbalance in aminergic signaling are common disease-modifying factors leading to various neurodegenerative disorders. Based on the reports of emodin in hMAO inhibition and antagonist effect on the vasopressin V1A receptor, in this study we synthesized six emodin derivatives and evaluated their effects on MAO activity and G protein-coupled receptors. Among them, 4-hydroxyemodin and 5-hydroxyemodin were potent inhibitors of hMAO, and 2-hydroxyemodin and 5-hydroxyemodin were good V1AR antagonists. In silico molecular docking simulation revealed that the hydroxyl group at C2, C4, and C5 of the respective compounds interacted with prime residues, which corroborates the in vitro effect. Likewise, these three derivatives were predicted to have good drug-like properties. Overall, our study demonstrates that the hydroxyl derivatives of emodin are multi-target-directed ligands that may act as leads for the design and development of a therapy for central nervous system disorders.
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Affiliation(s)
- Pradeep Paudel
- Department
of Food and Life Science, Pukyong National
University, Busan 48513, Republic of Korea
- National
Center for Natural Products Research, The
University of Mississippi, Oxford, Mississippi 38677, United States
| | - Srijan Shrestha
- Discipline
of Pharmacology, School of Medicine, Faculty of Health Science, The University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Se Eun Park
- Department
of Food and Life Science, Pukyong National
University, Busan 48513, Republic of Korea
| | - Su Hui Seong
- Department
of Food and Life Science, Pukyong National
University, Busan 48513, Republic of Korea
| | - Fazlin Mohd Fauzi
- Department
of Pharmacology and Chemistry, Faculty of Pharmacy, Universiti Teknologi MARA, Selangor Branch, Puncak Alam Campus, Bandar Puncak Alam, Selangor 42300, Malaysia
| | - Hyun Ah Jung
- Department
of Food Science and Human Nutrition, Jeonbuk
National University, Jeonju 54896, Republic of Korea
- . Phone: 82-63-270-4882. Fax: 82-63-270-3854
| | - Jae Sue Choi
- Department
of Food and Life Science, Pukyong National
University, Busan 48513, Republic of Korea
- . Phone: +82-51-629-5845. Fax: +82 51 629 5842
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Kousar K, Majeed A, Yasmin F, Hussain W, Rasool N. Phytochemicals from Selective Plants Have Promising Potential against SARS-CoV-2: Investigation and Corroboration through Molecular Docking, MD Simulations, and Quantum Computations. BIOMED RESEARCH INTERNATIONAL 2020; 2020:6237160. [PMID: 33102585 PMCID: PMC7568149 DOI: 10.1155/2020/6237160] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 08/04/2020] [Accepted: 08/12/2020] [Indexed: 01/07/2023]
Abstract
Coronaviruses have been reported previously due to their association with the severe acute respiratory syndrome (SARS). After SARS, these viruses were known to be causing Middle East respiratory syndrome (MERS) and caused 35% evanescence amid victims pursuing remedial care. Nowadays, beta coronaviruses, members of Coronaviridae, family order Nidovirales, have become subjects of great importance due to their latest pandemic originating from Wuhan, China. The virus named as human-SARS-like coronavirus-2 contains four structural as well as sixteen nonstructural proteins encoded by single-stranded ribonucleic acid of positive polarity. As there is no vaccine available to treat the infection caused by these viruses, there is a dire need for taking necessary steps against this virus. Herein, we have targeted two nonstructural proteins of SARS-CoV-2, namely, methyltransferase (nsp16) and helicase (nsp13), respectively, due to their substantial activity in viral pathogenesis. A total of 2035 compounds were analyzed for their pharmacokinetics and pharmacological properties. The screened 108 compounds were docked against both targeted proteins and were compared with previously reported known compounds. Compounds with high binding affinity were analyzed for their reactivity through DFT analysis, and binding was analyzed using molecular dynamics simulations. Through the analyses performed in this study, it is concluded that EryvarinM, Silydianin, Osajin, and Raddeanine can be considered potential inhibitors for MTase, while TomentodiplaconeB, Osajin, Sesquiterpene Glycoside, Rhamnetin, and Silydianin for helicase after these compounds are validated thoroughly using in vitro and in vivo protocols.
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Affiliation(s)
- Kafila Kousar
- Department of Healthcare Biotechnology, Atta ur Rahman School of Applied Biosciences, National University of Science and Technology Islamabad, Pakistan
| | | | - Farkhanda Yasmin
- Department of Biotechnology, Khawaja Fareed University of Science and Technology, Rahim Yar Khan, Pakistan
| | - Waqar Hussain
- National Center of Artificial Intelligence, Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan
- Center for Professional and Applied Studies, Lahore, Pakistan
| | - Nouman Rasool
- Center for Professional and Applied Studies, Lahore, Pakistan
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26
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Stępnicki P, Kondej M, Koszła O, Żuk J, Kaczor AA. Multi-targeted drug design strategies for the treatment of schizophrenia. Expert Opin Drug Discov 2020; 16:101-114. [PMID: 32915109 DOI: 10.1080/17460441.2020.1816962] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Schizophrenia is a complex psychiatric disease (or a conglomeration of disorders) manifesting with positive, negative and cognitive symptoms. The pathophysiology of schizophrenia is not completely known; however, it involves many neurotransmitters and their receptors. In order to treat schizophrenia, drugs need to be multi-target drugs. Indeed, the action of second and third generation antipsychotics involves interactions with many receptors, belonging mainly to aminergic GPCRs. AREAS COVERED In this review, the authors summarize current concepts of schizophrenia with the emphasis on the modern dopaminergic, serotoninergic, and glutamatergic hypotheses. Next, they discuss treatments of the disease, stressing multi-target antipsychotics. They cover different aspects of design of multi-target ligands, including the application of molecular modeling approaches for the design and benefits and limitations of multifunctional compounds. Finally, they present successful case studies of multi-target drug design against schizophrenia. EXPERT OPINION Treatment of schizophrenia requires the application of multi-target drugs. While designing single target drugs is relatively easy, designing multifunctional compounds is a challenge due to the necessity to balance the affinity to many targets, while avoiding promiscuity and the problems with drug-likeness. Multi-target drugs bring many benefits: better efficiency, fewer adverse effects, and drug-drug interactions and better patient compliance to drug regime.
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Affiliation(s)
- Piotr Stępnicki
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin , Lublin, Poland
| | - Magda Kondej
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin , Lublin, Poland
| | - Oliwia Koszła
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin , Lublin, Poland
| | - Justyna Żuk
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin , Lublin, Poland
| | - Agnieszka A Kaczor
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin , Lublin, Poland.,School of Pharmacy, University of Eastern Finland , Kuopio, Finland
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Jastrzębski S, Szymczak M, Pocha A, Mordalski S, Tabor J, Bojarski AJ, Podlewska S. Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening. J Chem Inf Model 2020; 60:4246-4262. [DOI: 10.1021/acs.jcim.9b01202] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Stanisław Jastrzębski
- Faculty of Mathematics and Computer Science, Jagiellonian University, 6 Łojasiewicza Street, 30-348 Kraków, Poland
| | - Maciej Szymczak
- Faculty of Mathematics and Computer Science, Jagiellonian University, 6 Łojasiewicza Street, 30-348 Kraków, Poland
| | - Agnieszka Pocha
- Faculty of Mathematics and Computer Science, Jagiellonian University, 6 Łojasiewicza Street, 30-348 Kraków, Poland
| | - Stefan Mordalski
- Department of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark
- Maj Institute of Pharmacology, Polish Academy of Sciences, 12 Smętna Street, 31-343 Kraków, Poland
| | - Jacek Tabor
- Faculty of Mathematics and Computer Science, Jagiellonian University, 6 Łojasiewicza Street, 30-348 Kraków, Poland
| | - Andrzej J. Bojarski
- Maj Institute of Pharmacology, Polish Academy of Sciences, 12 Smętna Street, 31-343 Kraków, Poland
| | - Sabina Podlewska
- Maj Institute of Pharmacology, Polish Academy of Sciences, 12 Smętna Street, 31-343 Kraków, Poland
- Department of Technology and Biotechnology of Drugs, Jagiellonian University Medical College, 9 Medyczna Street, 30-688 Kraków, Poland
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28
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Li Petri G, Spanò V, Spatola R, Holl R, Raimondi MV, Barraja P, Montalbano A. Bioactive pyrrole-based compounds with target selectivity. Eur J Med Chem 2020; 208:112783. [PMID: 32916311 PMCID: PMC7455853 DOI: 10.1016/j.ejmech.2020.112783] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/19/2020] [Accepted: 08/21/2020] [Indexed: 12/13/2022]
Abstract
The discovery of novel synthetic compounds with drug-like properties is an ongoing challenge in medicinal chemistry. Natural products have inspired the synthesis of compounds for pharmaceutical application, most of which are based on N-heterocyclic motifs. Among these, the pyrrole ring is one of the most explored heterocycles in drug discovery programs for several therapeutic areas, confirmed by the high number of pyrrole-based drugs reaching the market. In the present review, we focused on pyrrole and its hetero-fused derivatives with anticancer, antimicrobial, and antiviral activities, reported in the literature between 2015 and 2019, for which a specific target was identified, being responsible for their biological activity. It emerges that the powerful pharmaceutical and pharmacological features provided by the pyrrole nucleus as pharmacophore unit of many drugs are still recognized by medicinal chemists. Pyrrole nucleus is one of the most explored heterocycle in drug discovery. Pyrrole derivatives exhibit antitumor, antimicrobial and antiviral activities. Targets involved in their biological activities were identified. SAR to underline their most important features were discussed.
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Affiliation(s)
- Giovanna Li Petri
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy
| | - Virginia Spanò
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy
| | - Roberto Spatola
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy
| | - Ralph Holl
- Department of Chemistry, Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, 20146, Hamburg, Germany
| | - Maria Valeria Raimondi
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy.
| | - Paola Barraja
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy
| | - Alessandra Montalbano
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Via Archirafi 32, 90123, Palermo, Italy
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29
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Hefke L, Hiesinger K, Zhu WF, Kramer JS, Proschak E. Computer-Aided Fragment Growing Strategies to Design Dual Inhibitors of Soluble Epoxide Hydrolase and LTA4 Hydrolase. ACS Med Chem Lett 2020; 11:1244-1249. [PMID: 32551007 DOI: 10.1021/acsmedchemlett.0c00102] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 04/08/2020] [Indexed: 12/22/2022] Open
Abstract
Multitarget ligands are interesting candidates for drug discovery and development due to improved safety and efficacy. However, rational design and optimization of multitarget ligands is tedious because affinity optimization for two or more targets has to be performed simultaneously. In this study, we demonstrate that, given a molecular fragment, which binds to two targets of interest, computer-aided fragment growing can be applied to optimize compound potency, relying on either ligand- or structure-derived information. This methodology is applied to the design of dual inhibitors of soluble epoxide hydrolase and leukotriene A4 hydrolase.
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Affiliation(s)
- Lena Hefke
- Institute of Pharmaceutical Chemistry, Goethe-University, Max-von-Laue Strasse 9, D-60438 Frankfurt, Germany
| | - Kerstin Hiesinger
- Institute of Pharmaceutical Chemistry, Goethe-University, Max-von-Laue Strasse 9, D-60438 Frankfurt, Germany
| | - W. Felix Zhu
- Institute of Pharmaceutical Chemistry, Goethe-University, Max-von-Laue Strasse 9, D-60438 Frankfurt, Germany
| | - Jan S. Kramer
- Institute of Pharmaceutical Chemistry, Goethe-University, Max-von-Laue Strasse 9, D-60438 Frankfurt, Germany
| | - Ewgenij Proschak
- Institute of Pharmaceutical Chemistry, Goethe-University, Max-von-Laue Strasse 9, D-60438 Frankfurt, Germany
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30
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Oyewole RO, Oyebamiji AK, Semire B. Theoretical calculations of molecular descriptors for anticancer activities of 1, 2, 3-triazole-pyrimidine derivatives against gastric cancer cell line (MGC-803): DFT, QSAR and docking approaches. Heliyon 2020; 6:e03926. [PMID: 32462084 PMCID: PMC7243141 DOI: 10.1016/j.heliyon.2020.e03926] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 03/26/2020] [Accepted: 05/01/2020] [Indexed: 02/08/2023] Open
Abstract
This work used quantum chemical method via DFT to calculate molecular descriptors for the development of QSAR model to predict bioactivity (IC50- 50% inhibition concentration) of the selected 1, 2, 3-triazole-pyrimidine derivatives against receptor (human gastric cancer cell line, MGC-803). The selected molecular parameters were obtained by B3LYP/6-31G∗∗. QSAR model linked the molecular parameters of the studied compounds to their cytotoxicity and reproduced their observed bioactivities against MGC-803. The calculated IC50 tailored the observed IC50 and greater than standard compound, 5-fluorouracil, suggesting that the developed QSAR model reproduced the observed bioactivity. Statistical analyses (including R2, CV. R2 andR a 2 gave 0.950, 0.970 and 0.844 respectively) revealed a very good fitness. Molecular docking studies revealed the hydrogen bonding with the amino acid residues in the binding site, as well as ligand conformations which are essential feature for ligand-receptor interactions. Therefore, the methods used in this study are veritable tools that can be employed in pharmacological and medicinal chemistry researches in designing better drugs with improve potency.
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Affiliation(s)
- Rhoda Oyeladun Oyewole
- Department of Pure and Applied Chemistry, Faculty of Pure and Applied Sciences, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Abel Kolawole Oyebamiji
- Department of Pure and Applied Chemistry, Faculty of Pure and Applied Sciences, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- Department of Basic Sciences, Adeleke University, P.M.B. 250, Ede, Osun State, Nigeria
| | - Banjo Semire
- Department of Pure and Applied Chemistry, Faculty of Pure and Applied Sciences, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
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31
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Sivakumar KC, Haixiao J, Naman CB, Sajeevan TP. Prospects of multitarget drug designing strategies by linking molecular docking and molecular dynamics to explore the protein-ligand recognition process. Drug Dev Res 2020; 81:685-699. [PMID: 32329098 DOI: 10.1002/ddr.21673] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 03/24/2020] [Accepted: 04/06/2020] [Indexed: 12/14/2022]
Abstract
The designing of drugs that can simultaneously affect different protein targets is one novel and promising way to treat complex diseases. Multitarget drugs act on multiple protein receptors each implicated in the same disease state, and may be considered to be more beneficial than conventional drug therapies. For example, these drugs can have improved therapeutic potency due to synergistic effects on multiple targets, as well as improved safety and resistance profiles due to the combined regulation of potential primary therapeutic targets and compensatory elements and lower dosage typically required. This review analyzes in-silico methods that facilitate multitarget drug design that facilitate the discovery and development of novel therapeutic agents. Here presented is a summary of the progress in structure-based drug discovery techniques that study the process of molecular recognition of targets and ligands, moving from static molecular docking to improved molecular dynamics approaches in multitarget drug design, and the advantages and limitations of each.
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Affiliation(s)
- Krishnankutty Chandrika Sivakumar
- National Centre for Aquatic Animal Health, Cochin University of Science and Technology, Kochi, India.,Bioinformatics Facility, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
| | - Jin Haixiao
- Li Dak Sum Marine Biopharmaceutical Research Center, Department of Marine Pharmacy, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
| | - C Benjamin Naman
- Li Dak Sum Marine Biopharmaceutical Research Center, Department of Marine Pharmacy, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China.,Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
| | - T P Sajeevan
- National Centre for Aquatic Animal Health, Cochin University of Science and Technology, Kochi, India
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32
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Vibala B, Praseetha P, Vijayakumar S. Evaluating new strategies for anticancer molecules from ethnic medicinal plants through in silico and biological approach - A review. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2019.100553] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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33
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Dual-target kinase drug design: Current strategies and future directions in cancer therapy. Eur J Med Chem 2020; 188:112025. [DOI: 10.1016/j.ejmech.2019.112025] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 12/18/2019] [Accepted: 12/29/2019] [Indexed: 12/12/2022]
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34
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Pirzada RH, Javaid N, Choi S. The Roles of the NLRP3 Inflammasome in Neurodegenerative and Metabolic Diseases and in Relevant Advanced Therapeutic Interventions. Genes (Basel) 2020; 11:E131. [PMID: 32012695 PMCID: PMC7074480 DOI: 10.3390/genes11020131] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 01/22/2020] [Accepted: 01/22/2020] [Indexed: 02/07/2023] Open
Abstract
Inflammasomes are intracellular multiprotein complexes in the cytoplasm that regulate inflammation activation in the innate immune system in response to pathogens and to host self-derived molecules. Recent advances greatly improved our understanding of the activation of nucleotide-binding oligomerization domain-like receptor (NLR) family pyrin domain containing 3 (NLRP3) inflammasomes at the molecular level. The NLRP3 belongs to the subfamily of NLRP which activates caspase 1, thus causing the production of proinflammatory cytokines (interleukin 1β and interleukin 18) and pyroptosis. This inflammasome is involved in multiple neurodegenerative and metabolic disorders including Alzheimer's disease, multiple sclerosis, type 2 diabetes mellitus, and gout. Therefore, therapeutic targeting to the NLRP3 inflammasome complex is a promising way to treat these diseases. Recent research advances paved the way toward drug research and development using a variety of machine learning-based and artificial intelligence-based approaches. These state-of-the-art approaches will lead to the discovery of better drugs after the training of such a system.
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Affiliation(s)
| | | | - Sangdun Choi
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (R.H.P.); (N.J.)
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35
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Scotti L, Monteiro AFM, de Oliveira Viana J, Mendonça Junior FJB, Ishiki HM, Tchouboun EN, Santos R, Scotti MT. Multi-Target Drugs Against Metabolic Disorders. Endocr Metab Immune Disord Drug Targets 2020; 19:402-418. [PMID: 30556507 DOI: 10.2174/1871530319666181217123357] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/18/2018] [Accepted: 06/27/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND Metabolic disorders are a major cause of illness and death worldwide. Metabolism is the process by which the body makes energy from proteins, carbohydrates, and fats; chemically breaking these down in the digestive system towards sugars and acids which constitute the human body's fuel for immediate use, or to store in body tissues, such as the liver, muscles, and body fat. OBJECTIVE The efficiency of treatments for multifactor diseases has not been proved. It is accepted that to manage multifactor diseases, simultaneous modulation of multiple targets is required leading to the development of new strategies for discovery and development of drugs against metabolic disorders. METHODS In silico studies are increasingly being applied by researchers due to reductions in time and costs for new prototype synthesis; obtaining substances that present better therapeutic profiles. DISCUSSION In the present work, in addition to discussing multi-target drug discovery and the contributions of in silico studies to rational bioactive planning against metabolic disorders such as diabetes and obesity, we review various in silico study contributions to the fight against human metabolic pathologies. CONCLUSION In this review, we have presented various studies involved in the treatment of metabolic disorders; attempting to obtain hybrid molecules with pharmacological activity against various targets and expanding biological activity by using different mechanisms of action to treat a single pathology.
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Affiliation(s)
- Luciana Scotti
- Teaching and Research Management - University Hospital, Federal University of Paraíba, João Pessoa, PB, Brazil.,Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil
| | - Alex France Messias Monteiro
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil
| | - Jéssika de Oliveira Viana
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil
| | - Francisco Jaime Bezerra Mendonça Junior
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil.,Laboratory of Synthesis and Drug Delivery, Department of Biological Science, State University of Paraiba, Joao Pessoa, PB, Brazil
| | - Hamilton M Ishiki
- University of Western Sao Paulo (Unoeste), Presidente Prudente, SP, Brazil
| | | | - Rodrigo Santos
- Laboratory of Synthesis and Drug Delivery, Department of Biological Science, State University of Paraiba, Joao Pessoa, PB, Brazil
| | - Marcus Tullius Scotti
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, PB, Brazil
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Zhou J, Jiang X, He S, Jiang H, Feng F, Liu W, Qu W, Sun H. Rational Design of Multitarget-Directed Ligands: Strategies and Emerging Paradigms. J Med Chem 2019; 62:8881-8914. [PMID: 31082225 DOI: 10.1021/acs.jmedchem.9b00017] [Citation(s) in RCA: 172] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Due to the complexity of multifactorial diseases, single-target drugs do not always exhibit satisfactory efficacy. Recently, increasing evidence indicates that simultaneous modulation of multiple targets may improve both therapeutic safety and efficacy, compared with single-target drugs. However, few multitarget drugs are on market or in clinical trials, despite the best efforts of medicinal chemists. This article discusses the systematic establishment of target combination, lead generation, and optimization of multitarget-directed ligands (MTDLs). Moreover, we analyze some MTDLs research cases for several complex diseases in recent years and the physicochemical properties of 117 clinical multitarget drugs, with the aim to reveal the trends and insights of the potential use of MTDLs.
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Affiliation(s)
- Junting Zhou
- Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211198 , People's Republic of China.,Department of Natural Medicinal Chemistry , China Pharmaceutical University , Nanjing , 211198 , People's Republic of China
| | - Xueyang Jiang
- Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211198 , People's Republic of China.,Department of Natural Medicinal Chemistry , China Pharmaceutical University , Nanjing , 211198 , People's Republic of China
| | - Siyu He
- Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211198 , People's Republic of China
| | - Hongli Jiang
- Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211198 , People's Republic of China.,Department of Natural Medicinal Chemistry , China Pharmaceutical University , Nanjing , 211198 , People's Republic of China
| | - Feng Feng
- Department of Natural Medicinal Chemistry , China Pharmaceutical University , Nanjing , 211198 , People's Republic of China.,Jiangsu Food and Pharmaceutical Science College , Huaian 223003 , People's Republic of China
| | - Wenyuan Liu
- Department of Analytical Chemistry , China Pharmaceutical University , Nanjing 210009 , People's Republic of China
| | - Wei Qu
- Department of Natural Medicinal Chemistry , China Pharmaceutical University , Nanjing , 211198 , People's Republic of China
| | - Haopeng Sun
- Department of Medicinal Chemistry , China Pharmaceutical University , Nanjing 211198 , People's Republic of China
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Wang T, Liu XH, Guan J, Ge S, Wu MB, Lin JP, Yang LR. Advancement of multi-target drug discoveries and promising applications in the field of Alzheimer's disease. Eur J Med Chem 2019; 169:200-223. [PMID: 30884327 DOI: 10.1016/j.ejmech.2019.02.076] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 02/12/2019] [Accepted: 02/28/2019] [Indexed: 12/22/2022]
Abstract
Complex diseases (e.g., Alzheimer's disease) or infectious diseases are usually caused by complicated and varied factors, including environmental and genetic factors. Multi-target (polypharmacology) drugs have been suggested and have emerged as powerful and promising alternative paradigms in modern medicinal chemistry for the development of versatile chemotherapeutic agents to solve these medical challenges. The multifunctional agents capable of modulating multiple biological targets simultaneously display great advantages of higher efficacy, improved safety profile, and simpler administration compared to single-targeted agents. Therefore, multifunctional agents would certainly open novel avenues to rationally design the next generation of more effective but less toxic therapeutic agents. Herein, the authors review the recent progress made in the discovery and design processes of selective multi-targeted agents, especially the successful application of multi-target drugs for the treatment of Alzheimer's disease.
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Affiliation(s)
- Tao Wang
- School of Biological Science, Jining Medical University, Jining, China; Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Xiao-Huan Liu
- School of Biological Science, Jining Medical University, Jining, China
| | - Jing Guan
- School of Biological Science, Jining Medical University, Jining, China
| | - Shun Ge
- School of Biological Science, Jining Medical University, Jining, China.
| | - Mian-Bin Wu
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China; Zhejiang Key Laboratory of Antifungal Drugs, Taizhou, 318000, China
| | - Jian-Ping Lin
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Li-Rong Yang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China
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38
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Shukla R, Singh TR. Virtual screening, pharmacokinetics, molecular dynamics and binding free energy analysis for small natural molecules against cyclin-dependent kinase 5 for Alzheimer's disease. J Biomol Struct Dyn 2019; 38:248-262. [PMID: 30688165 DOI: 10.1080/07391102.2019.1571947] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and characterized by brain cell death, memory loss and is the most common form of dementia. Although AD has devastating effects, however, drugs which can treat the AD remain limited. The cyclin-dependent kinase 5 (CDK5) has been recognized as being involved in the pathological hyperphosphorylation of tau protein, which leads to the formation of neurofibrillary tangles (NFTs). We utilized the structure-based virtual screening (SBVS) approach to find the potential inhibitors against HsCDK5. The natural compound subset from the ZINC database (n = 167,741) was retrieved and screened by using SBVS method. From here, we have predicted 297 potent inhibitors. These 297 compounds were evaluated through their pharmacokinetic properties by ADMET (absorption, distribution, metabolism, elimination/excretion and toxicity) descriptors. Finally, 17 compounds were selected and used for re-docking. After the refinement by molecular docking and by using drug-likeness analysis, we have identified four potential inhibitors (ZINC85877721, ZINC96114862, ZINC96115616 and ZINC96116231). All these four ligands were employed for 100 ns MDS study. From the root mean square deviation (RMSD), root mean square fluctuation (RMSF), Rg, number of hydrogen bonds, solvent accessible surface area (SASA), principal component analysis (PCA) and binding free energy analysis we have found that out of four inhibitors ZINC85877721 and ZINC96116231 showed good binding free energy of -198.84 and -159.32 kJ.mol-1, respectively, and also good in other structural analyses. Both compounds displayed excellent pharmacological and structural properties to be the drug candidates. Collectively, these findings recommend that two compounds have great potential to be a promising agent against AD to reduce the CDK5 induced hyperphosphorylation and could be considered as therapeutic agents for the AD.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rohit Shukla
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, India
| | - Tiratha Raj Singh
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, India
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Viana JDO, Félix MB, Maia MDS, Serafim VDL, Scotti L, Scotti MT. Drug discovery and computational strategies in the multitarget drugs era. BRAZ J PHARM SCI 2018. [DOI: 10.1590/s2175-97902018000001010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Hameed R, Khan A, Khan S, Perveen S. Computational Approaches Towards Kinases as Attractive Targets for Anticancer Drug Discovery and Development. Anticancer Agents Med Chem 2018; 19:592-598. [PMID: 30306880 DOI: 10.2174/1871520618666181009163014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 04/09/2018] [Accepted: 09/03/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND One of the major goals of computational chemists is to determine and develop the pathways for anticancer drug discovery and development. In recent past, high performance computing systems elicited the desired results with little or no side effects. The aim of the current review is to evaluate the role of computational chemistry in ascertaining kinases as attractive targets for anticancer drug discovery and development. METHODS Research related to computational studies in the field of anticancer drug development is reviewed. Extensive literature on achievements of theorists in this regard has been compiled and presented with special emphasis on kinases being the attractive anticancer drug targets. RESULTS Different approaches to facilitate anticancer drug discovery include determination of actual targets, multi-targeted drug discovery, ligand-protein inverse docking, virtual screening of drug like compounds, formation of di-nuclear analogs of drugs, drug specific nano-carrier design, kinetic and trapping studies in drug design, multi-target QSAR (Quantitative Structure Activity Relationship) model, targeted co-delivery of anticancer drug and siRNA, formation of stable inclusion complex, determination of mechanism of drug resistance, and designing drug like libraries for the prediction of drug-like compounds. Protein kinases have gained enough popularity as attractive targets for anticancer drugs. These kinases are responsible for uncontrolled and deregulated differentiation, proliferation, and cell signaling of the malignant cells which result in cancer. CONCLUSION Interest in developing drugs through computational methods is a growing trend, which saves equally the cost and time. Kinases are the most popular targets among the other for anticancer drugs which demand attention. 3D-QSAR modelling, molecular docking, and other computational approaches have not only identified the target-inhibitor binding interactions for better anticancer drug discovery but are also designing and predicting new inhibitors, which serve as lead for the synthetic preparation of drugs. In light of computational studies made so far in this field, the current review highlights the importance of kinases as attractive targets for anticancer drug discovery and development.
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Affiliation(s)
- Rabia Hameed
- Department of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan
| | - Afsar Khan
- Department of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan
| | - Sehroon Khan
- Key Laboratory of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 560201, Yunnan, China
| | - Shagufta Perveen
- Department of Pharmacognosy, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia
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Vagos M, van Herck IGM, Sundnes J, Arevalo HJ, Edwards AG, Koivumäki JT. Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges. Front Physiol 2018; 9:1221. [PMID: 30233399 PMCID: PMC6131668 DOI: 10.3389/fphys.2018.01221] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/13/2018] [Indexed: 12/19/2022] Open
Abstract
The pathophysiology of atrial fibrillation (AF) is broad, with components related to the unique and diverse cellular electrophysiology of atrial myocytes, structural complexity, and heterogeneity of atrial tissue, and pronounced disease-associated remodeling of both cells and tissue. A major challenge for rational design of AF therapy, particularly pharmacotherapy, is integrating these multiscale characteristics to identify approaches that are both efficacious and independent of ventricular contraindications. Computational modeling has long been touted as a basis for achieving such integration in a rapid, economical, and scalable manner. However, computational pipelines for AF-specific drug screening are in their infancy, and while the field is progressing quite rapidly, major challenges remain before computational approaches can fill the role of workhorse in rational design of AF pharmacotherapies. In this review, we briefly detail the unique aspects of AF pathophysiology that determine requirements for compounds targeting AF rhythm control, with emphasis on delimiting mechanisms that promote AF triggers from those providing substrate or supporting reentry. We then describe modeling approaches that have been used to assess the outcomes of drugs acting on established AF targets, as well as on novel promising targets including the ultra-rapidly activating delayed rectifier potassium current, the acetylcholine-activated potassium current and the small conductance calcium-activated potassium channel. Finally, we describe how heterogeneity and variability are being incorporated into AF-specific models, and how these approaches are yielding novel insights into the basic physiology of disease, as well as aiding identification of the important molecular players in the complex AF etiology.
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Affiliation(s)
- Márcia Vagos
- Computational Physiology Department, Simula Research Laboratory, Lysaker, Norway
- Department of Informatics, University of Oslo, Oslo, Norway
| | - Ilsbeth G. M. van Herck
- Computational Physiology Department, Simula Research Laboratory, Lysaker, Norway
- Department of Informatics, University of Oslo, Oslo, Norway
| | - Joakim Sundnes
- Computational Physiology Department, Simula Research Laboratory, Lysaker, Norway
- Center for Cardiological Innovation, Oslo, Norway
| | - Hermenegild J. Arevalo
- Computational Physiology Department, Simula Research Laboratory, Lysaker, Norway
- Center for Cardiological Innovation, Oslo, Norway
| | - Andrew G. Edwards
- Computational Physiology Department, Simula Research Laboratory, Lysaker, Norway
- Center for Cardiological Innovation, Oslo, Norway
| | - Jussi T. Koivumäki
- BioMediTech Institute and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
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Pinzi L, Caporuscio F, Rastelli G. Selection of protein conformations for structure-based polypharmacology studies. Drug Discov Today 2018; 23:1889-1896. [PMID: 30099123 DOI: 10.1016/j.drudis.2018.08.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 08/03/2018] [Accepted: 08/06/2018] [Indexed: 11/29/2022]
Abstract
Several drugs exert their therapeutic effect through the modulation of multiple targets. Structure-based approaches hold great promise for identifying compounds with the desired polypharmacological profiles. These methods use knowledge of the protein binding sites to identify stereoelectronically complementary ligands. The selection of the most suitable protein conformations to be used in the design process is vital, especially for multitarget drug design in which the same ligand has to be accommodated in multiple binding pockets. Herein, we focus on currently available techniques for the selection of the most suitable protein conformations for multitarget drug design, compare the potential advantages and limitations of each method, and comment on how their combination could help in polypharmacology drug design.
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Affiliation(s)
- Luca Pinzi
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125, Modena, Italy
| | - Fabiana Caporuscio
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125, Modena, Italy
| | - Giulio Rastelli
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125, Modena, Italy.
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He Y, Cheng P, Wang W, Yan S, Tang Q, Liu D, Xie H. Rapid Investigation and Screening of Bioactive Components in Simo Decoction via LC-Q-TOF-MS and UF-HPLC-MD Methods. Molecules 2018; 23:molecules23071792. [PMID: 30036998 PMCID: PMC6100586 DOI: 10.3390/molecules23071792] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/06/2018] [Accepted: 07/13/2018] [Indexed: 01/19/2023] Open
Abstract
Simo decoction (SMD), as a traditional medicine, is widely used in the treatment of gastrointestinal dysmotility in China. In this study, a combined method of liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) and ultrafiltration high-performance liquid chromatography molecular docking (UF-HPLC-MD) was efficiently employed to identify and screen bioactive ingredients in SMD. Ninety-four major constituents were identified or tentatively characterized by comparing their retention times and mass spectra with standards or literature data by using LC-Q-TOF-MS, and the ascription of those compounds were classified for the first time. Among them, 13 bioactive ingredients, including norisoboldine, eriocitrin, neoeriocitrin, narirutin, hesperidin, naringin, neohesperidin, hesperitin-7-O-glucoside, linderane, poncirin, costunolide, nobiletin, and tangeretin, were primarily identified as the human serum albumin (HSA) ligands at a range of docking scores from −29.7 to −40.6 kJ/mol by UF-HPLC-MD. The results indicate the systematic identification and screening of HSA ligands from Simo decoction guided by LC-Q-TOF-MS and UF-HPLC-MD represents a feasible and efficient method that could be extended for the identification and screening of other bioactive ingredients from natural medicines.
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Affiliation(s)
- Yingjie He
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
- State Key Laboratory of Subhealth Intervention Technology, Changsha 410128, China.
| | - Pi Cheng
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
- Hunan Co-Innovation Center for Utilization of Botanical Functional Ingredients, Changsha 410128, China.
| | - Wei Wang
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
| | - Sien Yan
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
| | - Qi Tang
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
- Hunan Co-Innovation Center for Utilization of Botanical Functional Ingredients, Changsha 410128, China.
| | - Dongbo Liu
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
- State Key Laboratory of Subhealth Intervention Technology, Changsha 410128, China.
- Hunan Co-Innovation Center for Utilization of Botanical Functional Ingredients, Changsha 410128, China.
- Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization, Hunan Agricultural University, Changsha 410128, China.
| | - Hongqi Xie
- Horticulture and Landscape College, Hunan Agricultural University, Changsha 410128, China.
- State Key Laboratory of Subhealth Intervention Technology, Changsha 410128, China.
- Hunan Co-Innovation Center for Utilization of Botanical Functional Ingredients, Changsha 410128, China.
- Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization, Hunan Agricultural University, Changsha 410128, China.
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Structural insights into serotonin receptor ligands polypharmacology. Eur J Med Chem 2018; 151:797-814. [DOI: 10.1016/j.ejmech.2018.04.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 04/02/2018] [Accepted: 04/03/2018] [Indexed: 02/03/2023]
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Perez-Castillo Y, Sánchez-Rodríguez A, Tejera E, Cruz-Monteagudo M, Borges F, Cordeiro MNDS, Le-Thi-Thu H, Pham-The H. A desirability-based multi objective approach for the virtual screening discovery of broad-spectrum anti-gastric cancer agents. PLoS One 2018; 13:e0192176. [PMID: 29420638 PMCID: PMC5805264 DOI: 10.1371/journal.pone.0192176] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 01/17/2018] [Indexed: 01/09/2023] Open
Abstract
Gastric cancer is the third leading cause of cancer-related mortality worldwide and despite advances in prevention, diagnosis and therapy, it is still regarded as a global health concern. The efficacy of the therapies for gastric cancer is limited by a poor response to currently available therapeutic regimens. One of the reasons that may explain these poor clinical outcomes is the highly heterogeneous nature of this disease. In this sense, it is essential to discover new molecular agents capable of targeting various gastric cancer subtypes simultaneously. Here, we present a multi-objective approach for the ligand-based virtual screening discovery of chemical compounds simultaneously active against the gastric cancer cell lines AGS, NCI-N87 and SNU-1. The proposed approach relays in a novel methodology based on the development of ensemble models for the bioactivity prediction against each individual gastric cancer cell line. The methodology includes the aggregation of one ensemble per cell line using a desirability-based algorithm into virtual screening protocols. Our research leads to the proposal of a multi-targeted virtual screening protocol able to achieve high enrichment of known chemicals with anti-gastric cancer activity. Specifically, our results indicate that, using the proposed protocol, it is possible to retrieve almost 20 more times multi-targeted compounds in the first 1% of the ranked list than what is expected from a uniform distribution of the active ones in the virtual screening database. More importantly, the proposed protocol attains an outstanding initial enrichment of known multi-targeted anti-gastric cancer agents.
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Affiliation(s)
- Yunierkis Perez-Castillo
- Escuela de Ciencias Físicas y Matemáticas, Universidad de Las Américas, Quito, Ecuador
- * E-mail: (YPC); (HPT)
| | | | - Eduardo Tejera
- Facultad de Ingenieria y Ciencias Agropecuarias, Universidad de Las Américas, Quito, Ecuador
| | - Maykel Cruz-Monteagudo
- CIQUP/Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- REQUIMTE/Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- Department of General Education, West Coast University—Miami Campus, Doral, Florida, United States of America
| | - Fernanda Borges
- CIQUP/Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - M. Natália D. S. Cordeiro
- REQUIMTE/Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Huong Le-Thi-Thu
- VNU School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam
| | - Hai Pham-The
- Hanoi University of Pharmacy, Hanoi, Vietnam
- * E-mail: (YPC); (HPT)
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Kumar A, Sharma A. Computational Modeling of Multi-target-Directed Inhibitors Against Alzheimer’s Disease. NEUROMETHODS 2018. [DOI: 10.1007/978-1-4939-7404-7_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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Carpenter KA, Huang X. Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review. Curr Pharm Des 2018; 24:3347-3358. [PMID: 29879881 PMCID: PMC6327115 DOI: 10.2174/1381612824666180607124038] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 01/11/2023]
Abstract
BACKGROUND Virtual Screening (VS) has emerged as an important tool in the drug development process, as it conducts efficient in silico searches over millions of compounds, ultimately increasing yields of potential drug leads. As a subset of Artificial Intelligence (AI), Machine Learning (ML) is a powerful way of conducting VS for drug leads. ML for VS generally involves assembling a filtered training set of compounds, comprised of known actives and inactives. After training the model, it is validated and, if sufficiently accurate, used on previously unseen databases to screen for novel compounds with desired drug target binding activity. OBJECTIVE The study aims to review ML-based methods used for VS and applications to Alzheimer's Disease (AD) drug discovery. METHODS To update the current knowledge on ML for VS, we review thorough backgrounds, explanations, and VS applications of the following ML techniques: Naïve Bayes (NB), k-Nearest Neighbors (kNN), Support Vector Machines (SVM), Random Forests (RF), and Artificial Neural Networks (ANN). RESULTS All techniques have found success in VS, but the future of VS is likely to lean more largely toward the use of neural networks - and more specifically, Convolutional Neural Networks (CNN), which are a subset of ANN that utilize convolution. We additionally conceptualize a work flow for conducting ML-based VS for potential therapeutics for AD, a complex neurodegenerative disease with no known cure and prevention. This both serves as an example of how to apply the concepts introduced earlier in the review and as a potential workflow for future implementation. CONCLUSION Different ML techniques are powerful tools for VS, and they have advantages and disadvantages albeit. ML-based VS can be applied to AD drug development.
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Affiliation(s)
- Kristy A. Carpenter
- Neurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Xudong Huang
- Neurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
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48
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Kalash L, Val C, Azuaje J, Loza MI, Svensson F, Zoufir A, Mervin L, Ladds G, Brea J, Glen R, Sotelo E, Bender A. Computer-aided design of multi-target ligands at A 1R, A 2AR and PDE10A, key proteins in neurodegenerative diseases. J Cheminform 2017; 9:67. [PMID: 29290010 PMCID: PMC5748027 DOI: 10.1186/s13321-017-0249-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 12/01/2017] [Indexed: 01/30/2023] Open
Abstract
Compounds designed to display polypharmacology may have utility in treating complex diseases, where activity at multiple targets is required to produce a clinical effect. In particular, suitable compounds may be useful in treating neurodegenerative diseases by promoting neuronal survival in a synergistic manner via their multi-target activity at the adenosine A1 and A2A receptors (A1R and A2AR) and phosphodiesterase 10A (PDE10A), which modulate intracellular cAMP levels. Hence, in this work we describe a computational method for the design of synthetically feasible ligands that bind to A1 and A2A receptors and inhibit phosphodiesterase 10A (PDE10A), involving a retrosynthetic approach employing in silico target prediction and docking, which may be generally applicable to multi-target compound design at several target classes. This approach has identified 2-aminopyridine-3-carbonitriles as the first multi-target ligands at A1R, A2AR and PDE10A, by showing agreement between the ligand and structure based predictions at these targets. The series were synthesized via an efficient one-pot scheme and validated pharmacologically as A1R/A2AR-PDE10A ligands, with IC50 values of 2.4-10.0 μM at PDE10A and Ki values of 34-294 nM at A1R and/or A2AR. Furthermore, selectivity profiling of the synthesized 2-amino-pyridin-3-carbonitriles against other subtypes of both protein families showed that the multi-target ligand 8 exhibited a minimum of twofold selectivity over all tested off-targets. In addition, both compounds 8 and 16 exhibited the desired multi-target profile, which could be considered for further functional efficacy assessment, analog modification for the improvement of selectivity towards A1R, A2AR and PDE10A collectively, and evaluation of their potential synergy in modulating cAMP levels.
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Affiliation(s)
- Leen Kalash
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
| | - Cristina Val
- Center for Research in Biological Chemistry and Molecular Materials (CIQUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
- Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Jhonny Azuaje
- Center for Research in Biological Chemistry and Molecular Materials (CIQUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - María I. Loza
- Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Fredrik Svensson
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
- IOTA Pharmaceuticals Ltd, St Johns Innovation Centre, Cowley Road, Cambridge, CB40WS UK
| | - Azedine Zoufir
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
| | - Lewis Mervin
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
- Discovery Sciences, AstraZeneca R&D, Cambridge Science Park, Cambridge, UK
| | - Graham Ladds
- Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge, CB21QJ UK
| | - José Brea
- Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Robert Glen
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Eddy Sotelo
- Center for Research in Biological Chemistry and Molecular Materials (CIQUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Andreas Bender
- Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB21EW UK
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Chen H, Bauer U, Engkvist O. Merged Multiple Ligands. METHODS AND PRINCIPLES IN MEDICINAL CHEMISTRY 2017. [DOI: 10.1002/9783527674381.ch9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- Hongming Chen
- Discovery Sciences, Innovative Medicines and Early Development; AstraZeneca; Pepparedsleden 1 431 83 Mölndal Sweden
| | - Udo Bauer
- Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development; AstraZeneca; Pepparedsleden 1 431 83 Mölndal Sweden
| | - Ola Engkvist
- Discovery Sciences, Innovative Medicines and Early Development; AstraZeneca; Pepparedsleden 1 431 83 Mölndal Sweden
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Xie H, Wen H, Zhang D, Liu L, Liu B, Liu Q, Jin Q, Ke K, Hu M, Chen X. Designing of dual inhibitors for GSK-3β and CDK5: Virtual screening and in vitro biological activities study. Oncotarget 2017; 8:18118-18128. [PMID: 28179579 PMCID: PMC5392312 DOI: 10.18632/oncotarget.15085] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 01/11/2017] [Indexed: 01/25/2023] Open
Abstract
Alzheimer's disease is a multifactorial neurodegenerative disorder with many drug targets contributing to its etiology. Despite the devastating effects of this disease, therapeutic methods for treating Alzheimer's disease remain limited. The multifactorial nature of Alzheimer's disease strongly supports a multi-target rationale as a drug design strategy. Glycogen synthase kinase-3 beta and cyclin-dependent kinase 5 have been identified as being involved in the pathological hyperphosphorylation of tau proteins, which leads to the formation of neurofibrillary tangles and causes Alzheimer's disease. In this study, using a molecular docking method to screen a virtual library, we discovered molecules that can simultaneously inhibit Glycogen synthase kinase-3 beta and cyclin-dependent kinase 5 as lead compounds for the treatment of Alzheimer's disease. The docking results revealed the key residues in the substrate binding sites of both Glycogen synthase kinase-3 beta and cyclin-dependent kinase 5. A receiver operating characteristic curve indicated that the docking model consistently and selectively scored the majority of active compounds above decoys. The pre-treatment of cells with screened compounds protected them against Aβ25-35- induced cell death by up to 80%. Collectively, these findings suggest that some compounds have potential to be promising multifunctional agents for Alzheimer's disease treatment.
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Affiliation(s)
- Hongbo Xie
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Haixia Wen
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China.,Department of Physiology, Harbin Medical University, Harbin 150086, P. R. China
| | - Denan Zhang
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Lei Liu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Bo Liu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Qiuqi Liu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Qing Jin
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Kehui Ke
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Ming Hu
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
| | - Xiujie Chen
- Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, P. R. China
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