1
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Talukder MEK, Aktaruzzaman M, Siddiquee NH, Islam S, Wani TA, Alkahtani HM, Zargar S, Raihan MO, Rahman MM, Pokhrel S, Ahammad F. Cheminformatics-based identification of phosphorylated RET tyrosine kinase inhibitors for human cancer. Front Chem 2024; 12:1407331. [PMID: 39086985 PMCID: PMC11289668 DOI: 10.3389/fchem.2024.1407331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 06/19/2024] [Indexed: 08/02/2024] Open
Abstract
Background Rearranged during transfection (RET), an oncogenic protein, is associated with various cancers, including non-small-cell lung cancer (NSCLC), papillary thyroid cancer (PTC), pancreatic cancer, medullary thyroid cancer (MTC), breast cancer, and colorectal cancer. Dysregulation of RET contributes to cancer development, highlighting the importance of identifying lead compounds targeting this protein due to its pivotal role in cancer progression. Therefore, this study aims to discover effective lead compounds targeting RET across different cancer types and evaluate their potential to inhibit cancer progression. Methods This study used a range of computational techniques, including Phase database creation, high-throughput virtual screening (HTVS), molecular docking, molecular mechanics with generalized Born surface area (MM-GBSA) solvation, assessment of pharmacokinetic (PK) properties, and molecular dynamics (MD) simulations, to identify potential lead compounds targeting RET. Results Initially, a high-throughput virtual screening of the ZINC database identified 2,550 compounds from a pool of 170,269. Subsequent molecular docking studies revealed 10 compounds with promising negative binding scores ranging from -8.458 to -7.791 kcal/mol. MM-GBSA analysis further confirmed the potential of four compounds to exhibit negative binding scores. MD simulations demonstrated the stability of CID 95842900, CID 137030374, CID 124958150, and CID 110126793 with the target receptors. Conclusion These findings suggest that these selected four compounds have the potential to inhibit phosphorylated RET (pRET) tyrosine kinase activity and may represent promising candidates for the treatment of various cancers.
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Affiliation(s)
- Md. Enamul Kabir Talukder
- Laboratory of Computational Biology, Biological Solution Centre, Jashore, Bangladesh
- Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Md. Aktaruzzaman
- Laboratory of Computational Biology, Biological Solution Centre, Jashore, Bangladesh
- Department of Pharmacy, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Noimul Hasan Siddiquee
- Laboratory of Computational Biology, Biological Solution Centre, Jashore, Bangladesh
- Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Sabrina Islam
- Biological Sciences Department, Florida Atlantic University, Boca Raton, FL, United States
| | - Tanveer A. Wani
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Hamad M. Alkahtani
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Seema Zargar
- Department of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Md. Obayed Raihan
- Department of Pharmaceutical Sciences, College of Pharmacy, Chicago State University, Chicago, IL, United States
| | - Md. Mashiar Rahman
- Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Sushil Pokhrel
- Department of Biomedical Engineering, State University of New York at Binghamton SUNY, Binghamton, NY, United States
| | - Foysal Ahammad
- Division of Biological and Biomedical Sciences (BBS), College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar
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2
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Faris A, Hadni H, Ibrahim IM, Elhallaoui M. In silico discovery of potent and selective Janus kinase 3 (JAK3) inhibitors through 3D-QSAR, covalent docking, ADMET analysis, molecular dynamics simulations, and binding free energy of pyrazolopyrimidine derivatives. J Biomol Struct Dyn 2024; 42:4817-4833. [PMID: 37338041 DOI: 10.1080/07391102.2023.2222839] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/02/2023] [Indexed: 06/21/2023]
Abstract
Rheumatoid arthritis is a prevalent and debilitating chronic disease worldwide. Targeting Janus kinase 3 (JAK3) has emerged as a crucial molecular strategy to treat this condition. In this study, we employed a comprehensive theoretical approach that included 3D-QSAR, covalent docking, ADMET, and molecular dynamics to propose and optimize new anti-JAK3 compounds. We investigated a series of 28 1H-pyrazolo[3.4-d]pyrimidin-4-amino inhibitors and developed a highly accurate 3D-QSAR model using comparative molecular similarity index analysis (COMSIA). The model predicted with Q2 = 0.59, R2 = 0.96, and R2(Pred) = 0.89, was validated using Y-randomization and external validation methods. Our covalent docking studies identified T3 and T5 as highly potent inhibitors of JAK3 compared to the reference ligand 17. Additionally, we evaluated the ADMET properties and drug similarity of our newly developed compounds and reference ligand, providing critical insights for further optimization of anti-JAK3 medications. Furthermore, MM-GBSA analysis showed promising results for the designed compounds. Finally, we validated our docking results using molecular dynamics simulations, which confirmed the stability of hydrogen bonding contacts with key residues required to block JAK3 activity. Our findings offer new chemical scaffolds and insights that could lead to the development of novel and effective JAK3 therapeutic targets for treating rheumatoid arthritis.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abdelmoujoud Faris
- LIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
| | - Hanine Hadni
- LIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
| | - Ibrahim M Ibrahim
- Biophysics Department, Faculty of Science, Cairo University, Giza, Egypt
| | - Menana Elhallaoui
- LIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
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3
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Mhaidat I, Banidomi S, Wedian F, Badarneh R, Tashtoush H, Almomani W, Al-Mazaideh GM, Alharbi NS, Thiruvengadam M. Antioxidant and antibacterial activities of 5-mercapto(substitutedthio)-4-substituted-1,2,4-triazol based on nalidixic acid: A comprehensive study on its synthesis, characterization, and In silico evaluation. Heliyon 2024; 10:e28204. [PMID: 38571635 PMCID: PMC10987910 DOI: 10.1016/j.heliyon.2024.e28204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 04/05/2024] Open
Abstract
This study introduces a series of novel Alkyl thio-1,2,4-triazole (4a-p) and mercapto-1,2,4-triazole (3a-d) compounds derived from nalidixic acid. The synthesis was streamlined, involving interactions between nalidixic acid hydrazide and various isothiocyanates to yield cyclic and alkyl(aryl) sulfide compounds, characterized using 1H NMR, 13C NMR, IR, and elemental analysis. Antioxidant capabilities were quantified through DPPH and ABTS assays, highlighting significant potential, especially for compound 3d, which demonstrated an ABTS IC50 value of 0.397 μM, on par with ascorbic acid (IC50 = 0.87 μM). Antibacterial efficacy was established through MIC assessments against a broad spectrum of Gram-positive and Gram-negative bacteria, including Candida albicans. Compounds 3b, 4e, 4h, 4j, 4i, 4m, and 4o showed broad-spectrum activity, with 4k and 4m exhibiting pronounced potency against E. coli. Molecular docking studies validated the antibacterial potential, with compounds 4f and 4h showing high binding affinities (docking scores of -9.8 and -9.6 kcal/mol, respectively), indicating robust interactions with the bacterial enzyme targets. These scores underscore the compounds' mechanistic basis for their antibacterial action and support their therapeutic promise. Furthermore, compounds 3b, 4i, and 4m, identified through drug-likeness and toxicity predictions, were highlighted for their favorable profiles, suggesting their suitability for oral antibiotic therapies. This comprehensive study, blending synthetic, in vitro, and in silico approaches, emphasizes the triazole derivatives' potential as future candidates for antibiotic and antioxidant applications, particularly spotlighting compounds 3b, 4i, and 4m due to their promising efficacy and safety profiles.
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Affiliation(s)
- Ibrahim Mhaidat
- Department of Chemistry, Faculty of Sciences, Yarmouk University, Irbid, 21163, Jordan
| | - Sojoud Banidomi
- Department of Chemistry, Faculty of Sciences, Yarmouk University, Irbid, 21163, Jordan
| | - Fadel Wedian
- Department of Chemistry, Faculty of Sciences, Yarmouk University, Irbid, 21163, Jordan
| | - Rahaf Badarneh
- Department of Chemistry, Faculty of Sciences, Yarmouk University, Irbid, 21163, Jordan
| | - Hasan Tashtoush
- Department of Chemistry, Faculty of Sciences, Yarmouk University, Irbid, 21163, Jordan
| | - Waleed Almomani
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, 21163, Jordan
| | - Ghassab M. Al-Mazaideh
- Department of Chemistry and Chemical Technology, Tafila Technical University, Tafila, Jordan
| | - Naiyf S. Alharbi
- Department of Botany and Microbiology, College of Science, King Saud University, P. O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Muthu Thiruvengadam
- Department of Crop Science, College of Sanghuh Life Sciences, Konkuk University, Seoul, 05029, South Korea
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4
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Liu R, Chen X, Li J, Liu X, Shu M. Discovery of novel bromodomain-containing protein 4 (BRD4-BD1) inhibitors combined with 3d-QSAR, molecular docking and molecular dynamics in silico. J Biomol Struct Dyn 2024:1-18. [PMID: 38425011 DOI: 10.1080/07391102.2024.2321249] [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: 09/28/2023] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Abstract
Bromine-containing domain protein 4 (BRD4) plays a crucial role in regulating transcription and genome stability. Selective inhibitors of BRD4-BD1 can specifically target specific bromine domains to affect cell proliferation, apoptosis, and differentiation. In this work, 43 selective benzoazepinone BRD4-BD1 inhibitors were studied using molecular simulations and three-dimensional quantitative conformation relationships (3D-QSAR). A reliable 3D-QSAR model was established based on COMFA (Q2 = 0.532, R2 = 0.981) and COMSIA (S + E + H (Q2 = 0.536, R2 = 0.979) two different analysis methods. Through 3D-QSAR model prediction and quantum chemical analysis, 15 small molecules with stronger inhibitory activity than the template compounds were constructed, and 5 new compounds with higher predictive activity and binding affinity were screened by molecular docking and ADMET methods. According to the molecular dynamics simulation, the key residues that can interact with BRD4-BD1 protein and molecular docking results are consistent, including ASN140, MET132, GLN85, MET105, ASN135 and TYR97. From the MD trajectory, we calculated and analyzed RMSD, RMSF, free binding energy, FECM, DCCM and PCA, the loop region formed by amino acids VAL45∼PRO62 showed α-helix, β-folding and clustering towards the active center with the extension of simulation time. Further optimization of the structure of active candidate compounds A6, A11, A14, and A15 will provide the necessary theoretical basis for the synthesis and activity evaluation of novel BRD4-BD1 inhibitors.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rong Liu
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Xiaodie Chen
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Jiali Li
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Xingyun Liu
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
| | - Mao Shu
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China
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5
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Jawarkar RD, Zaki MEA, Al-Hussain SA, Al-Mutairi AA, Samad A, Masand V, Humane V, Mali S, Alzahrani AYA, Rashid S, Elossaily GM. Mechanistic QSAR modeling derived virtual screening, drug repurposing, ADMET and in- vitro evaluation to identify anticancer lead as lysine-specific demethylase 5a inhibitor. J Biomol Struct Dyn 2024:1-31. [PMID: 38385447 DOI: 10.1080/07391102.2024.2319104] [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: 08/24/2023] [Accepted: 02/11/2024] [Indexed: 02/23/2024]
Abstract
A lysine-specific demethylase is an enzyme that selectively eliminates methyl groups from lysine residues. KDM5A, also known as JARID1A or RBP2, belongs to the KDM5 Jumonji histone demethylase subfamily. To identify novel molecules that interact with the LSD5A receptor, we created a quantitative structure-activity relationship (QSAR) model. A group of 435 compounds was used in a study of the quantitative relationship between structure and activity to guess the IC50 values for blocking LASD5A. We used a genetic algorithm-multilinear regression-based quantitative structure-activity connection model to forecast the bioactivity (PIC50) of 1615 food and drug administration pharmaceuticals from the zinc database with the goal of repurposing clinically used medications. We used molecular docking, molecular dynamic simulation modelling, and molecular mechanics generalised surface area analysis to investigate the molecule's binding mechanism. A genetic algorithm and multi-linear regression method were used to make six variable-based quantitative structure-activity relationship models that worked well (R2 = 0.8521, Q2LOO = 0.8438, and Q2LMO = 0.8414). ZINC000000538621 was found to be a new hit against LSD5A after a quantitative structure-activity relationship-based virtual screening of 1615 zinc food and drug administration compounds. The docking analysis revealed that the hit molecule 11 in the KDM5A binding pocket adopted a conformation similar to the pdb-6bh1 ligand (docking score: -8.61 kcal/mol). The results from molecular docking and the quantitative structure-activity relationship were complementary and consistent. The most active lead molecule 11, which has shown encouraging results, has good absorption, distribution, metabolism, and excretion (ADME) properties, and its toxicity has been shown to be minimal. In addition, the MTT assay of ZINC000000538621 with MCF-7 cell lines backs up the in silico studies. We used molecular mechanics generalise borne surface area analysis and a 200-ns molecular dynamics simulation to find structural motifs for KDM5A enzyme interactions. Thus, our strategy will likely expand food and drug administration molecule repurposing research to find better anticancer drugs and therapies.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rahul D Jawarkar
- Department of Medicinal Chemistry and Drug discovery, Dr. Rajendra Gode Institute of Pharmacy, Amravati, Maharashtra, India
| | - Magdi E A Zaki
- Department of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
| | - Sami A Al-Hussain
- Department of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
| | - Aamal A Al-Mutairi
- Department of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
| | - Abdul Samad
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Tishk International University, Erbil, Kurdistan Region, Iraq
| | - Vijay Masand
- Department of Chemistry, Amravati, Maharashtra, India
| | - Vivek Humane
- Department of Chemistry, Shri R. R. Lahoti Science college, Morshi District: Amravati, Maharashtra, India
| | - Suraj Mali
- School of Pharmacy, D.Y. Patil University (Deemed to be University), Nerul, Navi Mumbai, India
| | | | - Summya Rashid
- Department of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Gehan M Elossaily
- Department of Basic Medical Sciences, College of Medicine, AlMaarefa University, Riyadh, Saudi Arabia
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6
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Guendouzi A, Belkhiri L, Guendouzi A, Derouiche TMT, Djekoun A. A combined in silico approaches of 2D-QSAR, molecular docking, molecular dynamics and ADMET prediction of anti-cancer inhibitor activity for actinonin derivatives. J Biomol Struct Dyn 2024; 42:119-133. [PMID: 36995063 DOI: 10.1080/07391102.2023.2192801] [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: 01/20/2023] [Accepted: 03/10/2023] [Indexed: 03/31/2023]
Abstract
Inhibition of human mitochondrial peptide deformylase (HsPDF) plays a major role in reducing growth, proliferation, and cellular cancer survival. In this work, a series of 32 actinonin derivatives for HsPDF (PDB: 3G5K) inhibitor's anticancer activity was computationally analyzed for the first time, using an in silico study considering 2D-QSAR modeling, and molecular docking studies, and validated by molecular dynamics and ADMET properties. The results of multilinear regression (MLR) and artificial neural networks (ANN) statistical analysis reveal a good correlation between pIC50 activity and the seven (7) descriptors. The developed models were highly significant with cross-validation, the Y-randomization test and their applicability range. In addition, all considered data sets show that the AC30 compound, exhibits the best binding affinity (docking score = -212.074 kcal/mol and H-bonding energy = -15.879 kcal/mol). Furthermore, molecular dynamics simulations were performed at 500 ns, confirming the stability of the studied complexes under physiological conditions and validating the molecular docking results. Five selected actinonin derivatives (AC1, AC8, AC15, AC18 and AC30), exhibiting best docking score, were rationalized as potential leads for HsPDF inhibition, in well agreement with experimental outcomes. Furthermore, based on the in silico study, new six molecules (AC32, AC33, AC34, AC35, AC36 and AC37) were suggested as HsPDF inhibition candidates, which would be combined with in-vitro and in-vivo studies to perspective validation of their anticancer activity. Indeed, the ADMET predictions indicate that these six new ligands have demonstrated a fairly good drug-likeness profile.
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Affiliation(s)
| | - Lotfi Belkhiri
- Centre de Recherche en Sciences Pharmaceutiques CRSP, Constantine, Algeria
- Laboratoire de Physique Mathématique et Subatomique LPMS, Département de Chimie, Université des Frères Mentouri, Constantine, Algeria
| | - Abdelkrim Guendouzi
- Laboratoire de Chimie, Synthèse, Propriétés et Applications LCSPA, Département de Chimie, Faculté des Sciences, Université Dr Moulay Tahar de Saida, Saïda, Algeria
| | - Tahar Mohamed Taha Derouiche
- Centre de Recherche en Sciences Pharmaceutiques CRSP, Constantine, Algeria
- Laboratoire Innovation Développement des Actifs Pharmaceutiques LIDAP, Faculté de Médecine, Département Pharmacie, Université Salah Boubnider Constantine 3, El Khroub, Algeria
| | - Abdelhamid Djekoun
- Centre de Recherche en Sciences Pharmaceutiques CRSP, Constantine, Algeria
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7
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Chahbaoui N, Khamouli S, Alaqarbeh M, Belaidi S, Sinha L, Chtita S, Bouachrine M. Identification of novel curcumin derivatives against pancreatic cancer: a comprehensive approach integrating 3D-QSAR pharmacophore modeling, virtual screening, and molecular dynamics simulations. J Biomol Struct Dyn 2023:1-19. [PMID: 37811784 DOI: 10.1080/07391102.2023.2266502] [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: 06/15/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023]
Abstract
Pancreatic cancer, known as the "silent killer," poses a daunting challenge in cancer therapy. The dysregulation of the PI3Kα signaling pathway in pancreatic cancer has attracted considerable interest as a promising target for therapeutic intervention. In this regard, the use of curcumin derivatives as inhibitors of PI3Kα has emerged, providing a novel and promising avenue for developing effective treatments for this devastating disease. Computational approaches were employed to explore this potential and investigate 58 curcumin derivatives with cytotoxic activity against the Panc-1 cell line. Our approach involved ligand-based pharmacophore modeling and atom-based 3D-QSAR analysis. The resulting QSAR model derived from the best-fitted pharmacophore hypothesis (AAHRR_1) demonstrated remarkable performance with high correlation coefficients (R2) of 0.990 for the training set and 0.977 for the test set. The cross-validation coefficient (Q2) of 0.971 also validated the model's predictive power. Tropsha's recommended criteria, including the Y-randomization test, were employed to ensure its reliability. Furthermore, an enrichment study was conducted to evaluate the model's performance in identifying active compounds. AAHRR_1 was used to screen a curated PubChem database of curcumin-related compounds. Two molecules (CID156189304 and CID154728220) exhibited promising pharmacokinetic properties and higher docking scores than Alpelisib, warranting further investigation. Extensive molecular dynamics simulations provided crucial insights into the conformational dynamics within the binding site, validating their stability and behavior. These findings contribute to our understanding of the potential therapeutic effectiveness of these compounds as PI3Kα inhibitors in pancreatic cancer.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Narimene Chahbaoui
- Group of Computational and Pharmaceutical Chemistry, LMCE Laboratory, University of Biskra, Biskra, Algeria
| | - Saida Khamouli
- Group of Computational and Pharmaceutical Chemistry, LMCE Laboratory, University of Biskra, Biskra, Algeria
| | - Marwa Alaqarbeh
- Basic Science Department, Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Al-Balqa Applied University, Al-Salt, Jordan
| | - Salah Belaidi
- Group of Computational and Pharmaceutical Chemistry, LMCE Laboratory, University of Biskra, Biskra, Algeria
| | - Leena Sinha
- Physics Department, University of Lucknow, Lucknow, India
| | - Samir Chtita
- Laboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Casablanca, Morocco
| | - Mohammed Bouachrine
- Molecular Chemistry and Natural Substances Laboratory, Faculty of Science, University Moulay Ismail, Meknes, Morocco
- Superior School of Technology - Khenifra (EST-Khenifra), University of Sultan Moulay Sliman, Khenifra, Morocco
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8
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Shtaiwi A. Thiadiazine-thiones as inhibitors of leishmania pteridine reductase (PTR1) target: investigations and in silico approach. J Biomol Struct Dyn 2023:1-10. [PMID: 37578348 DOI: 10.1080/07391102.2023.2246589] [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: 08/29/2022] [Accepted: 08/05/2023] [Indexed: 08/15/2023]
Abstract
Leishmaniasis is a widespread parasitic disease and is one of the major public health concerns in developing countries. Many drugs have been identified for leishmania as targets, but the potential toxicity and long-term treatment remain the most significant problems in terms of further development. The present study employed physicochemical investigations, structure-based virtual screening, ADMET analysis, molecular dynamics simulation, and MM-PBSA, to identify potential compounds for Leishmania. We evaluated 30,926 natural products from the NPASS database, and four potentials passed the pharmacokinetic ADMET studies and were verified using the molecular docking approach. Molecular docking results showed good binding interaction of the compounds with the active site of leishmania pteridine reductase enzyme PTR1, with compound TTC1 showing FRED and Autodock binding energies of -10.33 and -10.94, respectively, which were comparable with the antileishmania drugs of Allopurinol, Miltefosine and the original ligand, methotrexate. TTC1 compound was found to be favorable for hydrophobic interaction with PTR1. In addition, the physicochemical properties of the compounds were studied using the SwissADME web server. All compounds followed Lipinski's rule of five and can be considered as good oral candidates. The analysis of the 100 ns molecular dynamics simulation results based on the best-docked TTC1 with PTR1 receptor demonstrates stable interactions, and the complex undergoes low conformational fluctuations. The average of the calculated binding free energy of the TTC1-1e7w complex is (-68.67 kJ/mol), and the result demonstrated that the TTC1 promoted stability to the Leishmania-PTR1 complex. The potential compounds can be further explored for their antileishmanial activity.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Amneh Shtaiwi
- Faculty of Pharmacy, Middle East University, Amman, Jordan
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9
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Ouassaf M, Belaidi S, Chtita S, Lanez T, Abul Qais F, Md Amiruddin H. Combined molecular docking and dynamics simulations studies of natural compounds as potent inhibitors against SARS-CoV-2 main protease. J Biomol Struct Dyn 2022; 40:11264-11273. [PMID: 34315340 DOI: 10.1080/07391102.2021.1957712] [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] [Indexed: 12/24/2022]
Abstract
Main protease (Mpro) of SARS-CoV-2 is a key CoV enzyme that plays a pivotal role in mediating viral replication and transcription, making it an attractive drug target for SARS-CoV-2 the new strain of coronavirus. In this study, we evaluated biologically active compounds present in medicinal plants as potential SARS-CoV-2 Mpro inhibitors, using a molecular docking study with Autodock Vina software. Top seven compounds Afzelin, Phloroglucinol, Myricetin-3-O- rutinosid Tricin 7-neohesperidoside, Silybin, Kaempferol and Silychristin among 50 molecules of natural Origin (Algerian Medicinal plants) were selected which had better and significantly low binding energy as compared to the reference molecule with binding affinities of -9.3, -9.3, -9, -8.9, -8.5, 8.3 and -8.3 kcal mol-1 respectively. Then, we analyzed the ADME properties of the best 7 ligands using the Web server SwissADME. Two of small molecules have been shown to be the ideal candidates for further drug development. Finally, the stability of the both compounds complexed with Mpro was validated through molecular dynamics (MD) simulation, they displayed stable trajectory (RMSD, RMSF) and molecular properties with consistent interaction profile in molecular dynamics simulations, moreover, Silybin could form more stable complex with Mpro than Silychristin.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Mebarka Ouassaf
- Group of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, Biskra, Algeria
| | - Salah Belaidi
- Group of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, Biskra, Algeria.,Centre de Recherche en Sciences Pharmaceutiques (CRSP) la nouvelle ville Ali Mendjeli, Constantine, Algeria
| | - Samir Chtita
- Laboratory of Physical Chemistry of Materials, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Casablanca, Morocco
| | - Touhami Lanez
- VTRS Laboratory, Faculty of Sciences and Technology, University of El Oued, El Oued, Algeria
| | - Faizan Abul Qais
- Department of Agricultural Microbiology, Faculty of Agricultural Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Hashmi Md Amiruddin
- Interdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh, India
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10
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Design of novel benzimidazole derivatives as potential α-amylase inhibitors using QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation studies. J Mol Model 2022; 28:106. [DOI: 10.1007/s00894-022-05097-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 03/15/2022] [Indexed: 02/06/2023]
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11
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Jian-Bo T, Xing Z, Shuai B, Ding L, Tian-Hao W. Topomer CoMFA and HQSAR Study on Benzimidazole Derivative as NS5B Polymerase Inhibitor. LETT DRUG DES DISCOV 2022. [DOI: 10.2174/1570180818666210804125607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
In recent years, the number of people infected with the hepatitis C virus
(HCV) is increasing rapidly. This has become a major threat to global health, therefore, new anti-
HCV drugs are urgently needed. HCV NS5B polymerase is an RNA-dependent RNA polymerase
(RdRp), which plays an important role in virus replication, and can effectively prevent the replication
of HCV sub-genomic RNA in daughter cells. It is considered a very promising HCV therapeutic
target for the design of anti-HCV drugs.
Methods:
In order to explore the relationship between the structure of benzimidazole derivative and
its inhibitory activity on NS5B polymerase, holographic quantitative structure-activity relationship
(HQSAR) and Topomer comparative molecular field analysis (CoMFA) were used to establish benzimidazole
QSAR model of derivative inhibitors.
Results:
The results show that for the Topomer CoMFA model, the cross-validation coefficient q2
value is 0.883, and the non-cross-validation coefficient r2 value is 0.975. The model is reasonable,
reliable, and has a good predictive ability. For the HQSAR model, the cross-validated q2 value is
0.922, and the uncross-validated r2 value is 0.971, indicating that the model data fit well and has a
high predictive ability. Through the analysis of the contour map and color code diagram, 40 new
benzimidazole inhibitor molecules were designed, and all of them have higher activity than template
molecules, and the new molecules have significant interaction sites with protein 3SKE.
Conclusion:
The 3D-QSAR model established by Topomer CoMFA and HQSAR has good prediction
results and the statistical verification is valid. The newly designed molecules and docking results
provide theoretical guidance for the synthesis of new NS5B polymerase inhibitors and for the identification
of key residues that the inhibitors bind to NS5B, which helps to better understand their inhibitory
mechanism. These findings are helpful for the development of new anti-HCV drugs.
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Affiliation(s)
- Tong Jian-Bo
- College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi\'an 710021, China
- Shaanxi Key Laboratory of Chemical Additives for Industry, Xi\'an, 710021, China
| | - Zhang Xing
- College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi\'an 710021, China
- Shaanxi Key Laboratory of Chemical Additives for Industry, Xi\'an, 710021, China
| | - Bian Shuai
- College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi\'an 710021, China
- Shaanxi Key Laboratory of Chemical Additives for Industry, Xi\'an, 710021, China
| | - Luo Ding
- College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi\'an 710021, China
- Shaanxi Key Laboratory of Chemical Additives for Industry, Xi\'an, 710021, China
| | - Wang Tian-Hao
- College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi\'an 710021, China
- Shaanxi Key Laboratory of Chemical Additives for Industry, Xi\'an, 710021, China
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