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Egbemhenghe AU, Aderemi OE, Omotara BS, Akhimien FI, Osabuohien FO, Adedapo HA, Temionu OR, Egejuru WA, Ajala CF, Ihunanya MF, Oluwafemi OO, Onu CFD, Ajibare AC, Ddamulira C, Abalum JO, Afolayan OM. Computational-based drug design of novel small molecules targeting p53-MDMX interaction. J Biomol Struct Dyn 2024; 42:6678-6687. [PMID: 37578044 DOI: 10.1080/07391102.2023.2245483] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 07/06/2023] [Indexed: 08/15/2023]
Abstract
The regulation of the p53 tumor suppressor pathway is critically dependent on the activity of Murine Double Minute 2 (MDM2) and Murine Double Minute X (MDMX) proteins. In certain types of cancer cells, excessive amount of MDMX can poly-ubiquitinate p53, which can result in its degradation, leading to a subsequent reduction in the levels of this protein. Therefore, the design of small-molecule inhibitors targeting the MDMX-p53 interaction has emerged as a promising strategy for cancer therapy. In this study, we employed computational techniques including pharmacophore modeling and molecular docking to identify three potential small molecule inhibitors (CID_25094615, CID_137634453, and CID_25094344) of the MDMX-p53 interaction from a PubChem database. Molecular dynamics of 100000 ps were conducted to assess the stability of the MDMX-inhibitor complexes. Our results showed that all three compounds exhibit stable binding with MDMX, with significantly lower root mean square deviation (RMSD) and fluctuation (RMSF) values than the control ligand, indicating superior stability. Additionally, the three compounds exhibit stronger intermolecular hydrogen bond (HBOND) interactions compared to the control, suggesting stronger stability. Overall, our findings highlight the potential of these compounds as lead candidates for the development of novel anticancer agents that target the MDMX-p53 interaction.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
| | - Olajide Enoch Aderemi
- Department of Chemistry and Chemical Engineering, University of New Haven, West Haven, CT, USA
| | - Bamidele Samson Omotara
- Department of Chemistry and Chemical Engineering, University of New Haven, West Haven, CT, USA
| | | | | | | | - Oluwakemi Rita Temionu
- Department of Medical Laboratory Technology, Lagos State College of Health Technology, Lagos, Nigeria
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Hesamzadeh P, Seif A, Mahmoudzadeh K, Ganjali Koli M, Mostafazadeh A, Nayeri K, Mirjafary Z, Saeidian H. De novo antioxidant peptide design via machine learning and DFT studies. Sci Rep 2024; 14:6473. [PMID: 38499731 PMCID: PMC10948870 DOI: 10.1038/s41598-024-57247-z] [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: 12/29/2023] [Accepted: 03/15/2024] [Indexed: 03/20/2024] Open
Abstract
Antioxidant peptides (AOPs) are highly valued in food and pharmaceutical industries due to their significant role in human function. This study introduces a novel approach to identifying robust AOPs using a deep generative model based on sequence representation. Through filtration with a deep-learning classification model and subsequent clustering via the Butina cluster algorithm, twelve peptides (GP1-GP12) with potential antioxidant capacity were predicted. Density functional theory (DFT) calculations guided the selection of six peptides for synthesis and biological experiments. Molecular orbital representations revealed that the HOMO for these peptides is primarily localized on the indole segment, underscoring its pivotal role in antioxidant activity. All six synthesized peptides exhibited antioxidant activity in the DPPH assay, while the hydroxyl radical test showed suboptimal results. A hemolysis assay confirmed the non-hemolytic nature of the generated peptides. Additionally, an in silico investigation explored the potential inhibitory interaction between the peptides and the Keap1 protein. Analysis revealed that ligands GP3, GP4, and GP12 induced significant structural changes in proteins, affecting their stability and flexibility. These findings highlight the capability of machine learning approaches in generating novel antioxidant peptides.
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Affiliation(s)
- Parsa Hesamzadeh
- Department of Chemistry, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Abdolvahab Seif
- Dipartimento di Fisica, Universita' di Padova, Via Marzolo 8, 35131, Padua, Italy
- Department of Chemistry, University of Turin, Via Pietro Giuria 7, 10125, Turin, Italy
| | - Kazem Mahmoudzadeh
- Department of Organic Chemistry and Oil, Faculty of Chemistry, Shahid Beheshti University, Tehran, Iran
| | | | - Amrollah Mostafazadeh
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Kosar Nayeri
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Zohreh Mirjafary
- Department of Chemistry, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Hamid Saeidian
- Department of Science, Payame Noor University (PNU), PO Box: 19395-4697, Tehran, Iran.
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Choudhury AA, Arumugam M, Ponnusamy N, Sivaraman D, Sertsemariam W, Thiruvengadam M, Pandiaraj S, Rahaman M, Devi Rajeswari V. Anti-diabetic drug discovery using the bioactive compounds of Momordica charantia by molecular docking and molecular dynamics analysis. J Biomol Struct Dyn 2024:1-15. [PMID: 38334124 DOI: 10.1080/07391102.2024.2313156] [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: 06/06/2023] [Accepted: 01/26/2024] [Indexed: 02/10/2024]
Abstract
Diabetes mellitus (DM) is a multifactorial life-threatening endocrine disease characterized by abnormalities in glucose metabolism. It is a chronic metabolic disease that involves multiple enzymes such as α-amylase and α-glucosidases. Inhibition of these enzymes has been identified as a promising method for managing diabetes, and researchers are currently focusing on discovering novel α-amylase and α-glucosidase inhibitors for diabetes therapy. Hence, we have selected 12 bioactive compounds from the Momordica charantia (MC) plant and performed a virtual screening and molecular dynamics investigation to identify natural inhibitors of α-amylase and α-glucosidases. Our in silico result revealed that phytocompound Rutin showed the highest binding affinity against α-amylase (1HNY) enzymes at (-11.68 kcal/mol), followed by Karaviloside II (-9.39), Momordicoside F (-9.19), Campesterol (-9.11. While docking against α-glucosidases (4J5T), Rutin again showed the greatest binding affinity (-11.93 kcal/mol), followed by Momordicine (-9.89), and Campesterol (-8.99). Molecular dynamics (MD) simulation research is currently the gold standard for drug design and discovery. Consequently, we conducted simulations of 100 nanoseconds (ns) to assess the stability of protein-ligand complexes based on parameters like RMSD, RMSF, RG, PCA, and FEL. The significance of our findings indicates that rutin from MC might serve as an effective natural therapeutic agent for diabetes management due to its strongest binding affinities with α-amylase and α-glucosidase enzymes. Further research in animals and humans is essential to validate the efficacy of these drug molecules.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abbas Alam Choudhury
- Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT, Vellore, India
| | - Mohanapriya Arumugam
- Department of Biotechnology, School of Bio Sciences and Technology, VIT, Vellore, India
| | - Nirmaladevi Ponnusamy
- Department of Biotechnology, School of Bio Sciences and Technology, VIT, Vellore, India
| | | | - Woldie Sertsemariam
- Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT, Vellore, India
| | - Muthu Thiruvengadam
- Department of Applied Bioscience, Konkuk University, Seoul, Republic of Korea
| | - Saravanan Pandiaraj
- Department of Self-Development Skills, King Saud University, Riyadh, Saudi Arabia
| | - Mostafizur Rahaman
- Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - V Devi Rajeswari
- Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT, Vellore, India
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Adelusi TI, Ojo TO, Bolaji OQ, Oyewole MP, Olaoba OT, Oladipo EK. Predicting Plasmodium falciparum kinase inhibitors from antimalarial medicinal herbs using computational modeling approach. In Silico Pharmacol 2023; 12:4. [PMID: 38130691 PMCID: PMC10730500 DOI: 10.1007/s40203-023-00175-z] [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: 08/23/2023] [Accepted: 11/03/2023] [Indexed: 12/23/2023] Open
Abstract
Malaria remains a significant public health challenge, with resistance to available drugs necessitating the development of novel therapies targeting invasion-dependent proteins. Plasmodium falciparum calcium-dependent protein kinase 1 (PfCDPK-1) is essential for host erythrocyte invasion and parasite asexual development. This study screened a library of 490 compounds using computational methods to identify potential PfCDPK-1 inhibitors. Three compounds; 17-hydroxyazadiradione, Picracin, and Epicatechin-gallate derived from known antimalarial botanicals, showed potent inhibitory effects on PfCDPK-1. These compounds exhibited better binding affinities (-8.8, -9.1, -9.3 kCal/mol respectively), pharmacokinetics, and physicochemical properties than the purported inhibitory standard of PfCDPK-1, Purfalcamine. Molecular dynamics simulations (50 ns) and molecular mechanics analyses confirmed the stability and binding rigidity of these compounds at the active pocket of PfCDPK-1. The results suggest that these compounds are promising pharmacological targets with potential therapeutic effects for malaria treatment/management without undesirable side effects. Therefore, this study provides new insights into the development of effective antimalarial agents targeting invasion-dependent proteins, which could help combat the global malaria burden. Supplementary Information The online version contains supplementary material available at 10.1007/s40203-023-00175-z.
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Affiliation(s)
- Temitope Isaac Adelusi
- Computational Molecular Biology and Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, P.M.B 210214, Ogbomoso, Oyo State Nigeria
| | - Taiwo Ooreoluwa Ojo
- Computational Molecular Biology and Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, P.M.B 210214, Ogbomoso, Oyo State Nigeria
- Genomics unit, Helix Biogen Institute, P.M.B 212102, Ogbomoso, Oyo State Nigeria
| | - Olawale Quadri Bolaji
- Computational Molecular Biology and Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, P.M.B 210214, Ogbomoso, Oyo State Nigeria
| | - Moyosoluwa Precious Oyewole
- Computational Molecular Biology and Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, P.M.B 210214, Ogbomoso, Oyo State Nigeria
| | - Olamide Tosin Olaoba
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO 65211 USA
| | - Elijah Kolawole Oladipo
- Genomics unit, Helix Biogen Institute, P.M.B 212102, Ogbomoso, Oyo State Nigeria
- Laboratory of Molecular Biology, Bioinformatics and Immunology, Department of Microbiology, Adeleke University, Ede, Osun State Nigeria
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Oyedele AQK, Adelusi TI, Ogunlana AT, Ayoola MA, Adeyemi RO, Babalola MO, Ayorinde JB, Isong JA, Ajasa TO, Boyenle ID. Promising disruptors of p53-MDM2 dimerization from some medicinal plant phytochemicals: a molecular modeling study. J Biomol Struct Dyn 2023; 41:5817-5826. [PMID: 35822492 DOI: 10.1080/07391102.2022.2097313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 06/28/2022] [Indexed: 01/18/2023]
Abstract
Cancer is a major global health issue that has a high mortality rate. p53, which functions as a tumor suppressor, is critical in preventing tumor development by regulating the cell cycle and inducing apoptosis in damaged cells. However, the tumor suppressor function of p53 is effectively inhibited by its direct interaction with the hydrophobic cleft of MDM2 protein via multiple mechanisms As a result, restoring p53 activity by blocking the p53-MDM2 protein-protein interaction has been proposed as a compelling therapeutic strategy for cancer treatment. The use of molecular docking and phytochemical screening procedures are appraised to inhibit MDM2's hydrophobic cleft and disrupt the p53-MDM2 interaction. For this purpose, a library of 51 bioactive compounds from 10 medicinal plants was compiled and subjected to structure-based virtual screening. Out of these, only 3 compounds (Atalantoflavone, Cudraxanthone 1, and Ursolic acid) emerged as promising inhibitors of MDM2-p53 based on their binding affinities (-9.1 kcal/mol, -8.8 kcal/mol, and -8.8 kcal/mol respectively) when compared to the standard (-8.8 kcal/mol). Moreover, these compounds showed better pharmacokinetic and drug-like profiling than the standard inhibitor (Chromonotriazolopyrimidine 1). Finally, the 100 ns MD simulation analysis confirmed no significant perturbation in the conformational dynamics of the simulated binary complexes when compared to the standard. In particular, Ursolic acid was found to satisfy the molecular enumeration the most compared to the other inhibitors. Our overall molecular modeling finding shows why these compounds may emerge as potent arsenals for cancer therapeutics. Nonetheless, extensive experimental and clinical research is needed to augment their use in clinics.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abdul-Quddus Kehinde Oyedele
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
- Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Lagos, Nigeria
| | - Temitope Isaac Adelusi
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | - Abdeen Tunde Ogunlana
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | - Mojeed Ashiru Ayoola
- Department of Chemical Sciences, Biochemistry Unit, College of Natural and Applied Science, Fountain University, Osogbo, Nigeria
| | - Rofiat Oluwabusola Adeyemi
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | | | - James Babatunde Ayorinde
- Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Lagos, Nigeria
| | - Josiah Ayoola Isong
- Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Lagos, Nigeria
| | - Toheeb Olakunle Ajasa
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | - Ibrahim Damilare Boyenle
- Computational Biology, Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
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Adelusi TI, Boyenle ID, Tolulope A, Adebisi J, Fatoki JO, Ukachi CD, Oyedele AQK, Ayoola AM, Timothy AA. GCMS fingerprints and phenolic extracts of Allium sativum inhibit key enzymes associated with type 2 diabetes. J Taibah Univ Med Sci 2023; 18:337-347. [PMID: 36817213 PMCID: PMC9926220 DOI: 10.1016/j.jtumed.2022.09.011] [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: 06/04/2022] [Revised: 07/20/2022] [Accepted: 09/16/2022] [Indexed: 02/01/2023] Open
Abstract
Objectives Inhibition of carbohydrate digestion enzymes (α-amylase and α-glucosidase) has been reported in studies as a therapeutic approach for the management or treatment of type 2 diabetes mellitus, owing to its potential to decrease postprandial hyperglycemia. The anti-diabetic potential of Allium sativum (also known as garlic) against diabetes mellitus has been established. Therefore, in this study, we assessed the antidiabetic potential of A. sativum using in vitro enzyme assays after which we explored computational modelling approach using the quantified GC-MS identities to unravel the key bioactive compounds responsible for the anti-diabetic potential. Methods We used in vitro enzyme inhibition assays (α-amylase and α-glucosidase) to evaluate antidiabetic potential and subsequently performed gas chromatography-mass spectroscopy (GC-MS) to identify and quantify the bioactive compounds of the plant extract. The identified bioactive compounds were subjected to in silico docking and pharmacokinetic assessment. Results A. sativum phenolic extract showed high dose-dependent inhibition of α-amylase and α-glucosidase (p < 0.05). Interestingly, the extract inhibited α-glucosidase with a half maximal inhibitory concentration of 53.75 μg/mL, a value higher than that obtained for the standard acarbose. Docking simulation revealed that morellinol and phentolamine were the best binders of α-glucosidase, with mean affinity values of -7.3 and -7.1 kcal/mol, respectively. These compounds had good affinity toward active site residues of the enzyme, and excellent drug-like and pharmacokinetic properties supporting clinical applications. Conclusions Our research reveals the potential of A. sativum as a functional food for the management of type 2 diabetes, and suggests that morellinol and phentolamine may be the most active compounds responsible for this anti-diabetic prowess. Therefore these compounds require further clinical asessment to demonstrate their potential for drug development.
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Affiliation(s)
- Temitope I. Adelusi
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
- Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria
| | - Ibrahim D. Boyenle
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
- College of Health Sciences, Crescent University, Abeokuta, Nigeria
| | - Ajao Tolulope
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| | - Jonathan Adebisi
- Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria
| | - John O. Fatoki
- Department of Medical Biochemistry, Faculty of Basic Medical Sciences, Osogbo, Osun State, Nigeria
| | - Chiamaka D. Ukachi
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| | - Abdul-Quddus K. Oyedele
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
- Nigerian Institute of Medical Research, Lagos, Nigeria
| | - Ashiru M. Ayoola
- Department of Chemical Sciences, Biochemistry Unit, College of Natural and Applied Sciences, Fountain University, Osogbo, Nigeria
| | - Akinniyi A. Timothy
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
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Boyenle ID, Ogunlana AT, Kehinde Oyedele AQ, Olokodana BK, Owolabi N, Salahudeen A, Aderenle OT, Oloyede TO, Adelusi TI. Reinstating apoptosis using putative Bcl-xL natural product inhibitors: Molecular docking and ADMETox profiling investigations. J Taibah Univ Med Sci 2022; 18:461-469. [PMID: 36818176 PMCID: PMC9906007 DOI: 10.1016/j.jtumed.2022.10.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/17/2022] [Accepted: 10/25/2022] [Indexed: 11/15/2022] Open
Abstract
Objectives While a fine balance in the pro-apoptotic and anti-apoptotic family members of the B-cell lymphoma-2 (Bcl-2) protein family represents a normal signaling profile, a tilt in balance towards anti-apoptotic family members has fortified different forms of cancers with survival advantage and resistance against treatment. Induction of apoptosis is a key therapeutic approach in cancer drug discovery, and the inhibition of the anti-apoptotic B cell lymphoma extra-large (Bcl-xL) is a long-standing clinical target for cancer therapy. In this study, we combined computer-aided approaches to report putative binders for this target. Methods Before our virtual screening campaign, we conducted a redocking experiment strategy of the x-ray bound inhibitor of the Bcl-xL protein with some of the available docking software at our disposal to determine the software with the best efficiency for this screening. iGEMDOCK emerged to reproduce the x-ray crystallographic information and was used to dock the library of ligand, which was developed from diverse literature reporting compounds with anti-apoptotic profiles through the Bcl-2 family. Results Of the compounds in the library, alpha-mangostin and oubain scored as hits with binding energy values of -123.025 kcal/mol and -122.271 kcal/mol, respectively, which is more than -120.8 kcal/mol observed by the standard. Conclusions These compounds revealed a more binding affinity potential than ABT-737, which is a standard inhibitor of the protein. In addition, these scaffolds not only interact with relevant and hotspot residues for the inhibition of Bcl-xL but also possess good pharmacokinetic and excellent toxicity, an endpoint that should be considered for further testing and drug development.
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Affiliation(s)
- Ibrahim Damilare Boyenle
- Department of Nursing Science, College of Health Science, Crescent University, Abeokuta, Nigeria,Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria
| | - Abdeen Tunde Ogunlana
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria
| | - Abdul-Quddus Kehinde Oyedele
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria,Biochemistry and Nutrition Department, Nigeria Institute of Medical Research, Lagos, Nigeria
| | | | - Nurudeen Owolabi
- Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria
| | - Abdulmalik Salahudeen
- Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| | | | | | - Temitope Isaac Adelusi
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria,Corresponding address: Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Nigeria.
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Oyedele AQK, Adelusi TI, Ogunlana AT, Adeyemi RO, Atanda OE, Babalola MO, Ashiru MA, Ayoola IJ, Boyenle ID. Integrated virtual screening and molecular dynamics simulation revealed promising drug candidates of p53-MDM2 interaction. J Mol Model 2022; 28:142. [PMID: 35536362 DOI: 10.1007/s00894-022-05131-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/28/2022] [Indexed: 12/13/2022]
Abstract
In the vast majority of malignancies, the p53 tumor suppressor pathway is compromised. In some cancer cells, high levels of MDM2 polyubiquitinate p53 and mark it for destruction, thereby leading to a corresponding downregulation of the protein. MDM2 interacts with p53 via its hydrophobic pocket, and chemical entities that block the dimerization of the protein-protein complex can restore p53 activity. Thus far, only a few chemical compounds have been reported as potent arsenals against p53-MDM2. The Protein Data Bank has crystallogaphic structures of MDM2 in complex with certain compounds. Herein, we have exploited one of the complexes in the identification of new p53-MDM2 antagonists using a hierarchical virtual screening technique. The initial stage was to compile a targeted library of structurally appropriate compounds related to a known effective inhibitor, Nutlin 2, from the PubChem database. The identified 57 compounds were subjected to virtual screening using molecular docking to discover inhibitors with high binding affinity for MDM2. Consequently, five compounds with higher binding affinity than the standard emerged as the most promising therapeutic candidates. When compared to Nutlin 2, four of the drug candidates (CID_140017825, CID_69844501, CID_22721108, and CID_22720965) demonstrated satisfactory pharmacokinetic and pharmacodynamic profiles. Finally, MD simulation of the dynamic behavior of lead-protein complexes reveals the stability of the complexes after a 100,000 ps simulation period. In particular, when compared to the other three leads, overall computational modeling found CID_140017825 to be the best pharmacological candidate. Following thorough experimental trials, it may emerge as a promising chemical entity for cancer therapy.
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Affiliation(s)
- Abdul-Quddus Kehinde Oyedele
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria.,Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Yaba, Lagos, Nigeria
| | - Temitope Isaac Adelusi
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | - Abdeen Tunde Ogunlana
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | - Rofiat Oluwabusola Adeyemi
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria.,Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Yaba, Lagos, Nigeria
| | - Opeyemi Emmanuel Atanda
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria
| | | | - Mojeed Ayoola Ashiru
- Department of Chemical Sciences, Biochemistry Unit, College of Natural and Applied Science, Fountain University, Osogbo, Nigeria
| | - Isong Josiah Ayoola
- Department of Biochemistry and Nutrition, Nigerian Institute of Medical Research (NIMR), Yaba, Lagos, Nigeria
| | - Ibrahim Damilare Boyenle
- Computational Biology/Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomosho, Nigeria. .,College of Health Sciences, Crescent University, Abeokuta, Nigeria.
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Exploration of the Interactions between Maltase–Glucoamylase and Its Potential Peptide Inhibitors by Molecular Dynamics Simulation. Catalysts 2022. [DOI: 10.3390/catal12050522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Diabetes mellitus, a chronic metabolic disorder, represents a serious threat to human health. The gut enzyme maltase–glucoamylase (MGAM) has attracted considerable attention as a potential therapeutic target for the treatment of type 2 diabetes. Thus, developing novel inhibitors of MGAM holds the promise of improving clinical management. The dipeptides, Thr-Trp (TW) and Trp-Ala (WA), are known inhibitors of MGAM; however, studies on how they interact with MGAM are lacking. The work presented here explored these interactions by utilizing molecular docking and molecular dynamics simulations. Results indicate that the active center of the MGAM could easily accommodate the flexible peptides. Interactions involving hydrogen bonds, cation-π, and hydrophobic interactions are predicted between TW/WA and residues including Tyr1251, Trp1355, Asp1420, Met1421, Glu1423, and Arg1510 within MGAM. The electrostatic energy was recognized as playing a dominant role in both TW-MGAM and WA-MGAM systems. The binding locations of TW/WA are close to the possible acid-base catalytic residue Asp1526 and might be the reason for MGAM inhibition. These findings provide a theoretical structural model for the development of future inhibitors.
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Adelusi TI, Oyedele AQK, Boyenle ID, Ogunlana AT, Adeyemi RO, Ukachi CD, Idris MO, Olaoba OT, Adedotun IO, Kolawole OE, Xiaoxing Y, Abdul-Hammed M. Molecular modeling in drug discovery. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100880] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Consensus scoring-based virtual screening and molecular dynamics simulation of some TNF-alpha inhibitors. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2021.100833] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
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