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Kamal MM, Islam MN, Rabby MG, Zahid MA, Hasan MM. In Silico Functional and Structural Analysis of Non-synonymous Single Nucleotide Polymorphisms (nsSNPs) in Human Paired Box 4 Gene. Biochem Genet 2024; 62:2975-2998. [PMID: 38062275 DOI: 10.1007/s10528-023-10589-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 11/06/2023] [Indexed: 07/31/2024]
Abstract
In human genome, members of Paired box (PAX) transcription factor family are highly sequence-specific DNA-binding proteins. Among PAX gene family members, PAX4 gene has significant role in growth, proliferation, differentiation, and insulin secretion of pancreatic β-cells. Single nucleotide polymorphisms (SNPs) in PAX4 gene progress in the pathogenesis of various human diseases. Hence, the molecular mechanism of how these SNPs in PAX4 gene significantly progress diseases pathogenesis needs to be elucidated. For the reason, a series of bioinformatic analyzes were done to identify the SNPs of PAX4 gene that contribute in diseases pathogenesis. From the analyzes, 4145 SNPs (rsIDs) in PAX4 gene were obtained, where, 362 missense (8.73%), 169 synonymous (4.08%), and 2323 intron variants (56.04%). The rest SNPs were unspecified. Among the 362 missense variants, 118 nsSNPs were found as deleterious in SIFT analysis. Among those, 25 nsSNPs were most probably damaging and 23 were deleterious as observed in PolyPhen-2 and PROVEAN analyzes, respectively. Following all analyzes, 14 nsSNPs (rs149708455, rs115887120, rs147279315, rs35155575, rs370095957, rs373939873, rs145468905, rs121917718, rs2233580, rs3824004, rs372751660, rs369459316, rs375472849, rs372497946) were common and observed as deleterious, probably damaging, affective and diseases associated. Following structural analyzes, 11 nsSNPs guided proteins were found as most unstable and highly conserved. Among these, R20W, R39Q, R45Q, R60H, G65D, and A223D mutated proteins were highly harmful. Hence, the results from above-mentioned integrated comprehensive bioinformatic analyzes guide how different nsSNPs in PAX4 gene alter structural and functional characteristics of the protein that might progress diseases pathogenesis in human including type 2 diabetes.
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Affiliation(s)
- Md Mostafa Kamal
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Md Numan Islam
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh
- Department of Food Engineering, North Pacific International University of Bangladesh, Dhaka, Bangladesh
| | - Md Golam Rabby
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Md Ashrafuzzaman Zahid
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh
| | - Md Mahmudul Hasan
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh.
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Kamal MM, Teeya ST, Rahman MM, Talukder MEK, Sarmin S, Wani TA, Hasan MM. Prediction and assessment of deleterious and disease causing nonsynonymous single nucleotide polymorphisms (nsSNPs) in human FOXP4 gene: An in - silico study. Heliyon 2024; 10:e32791. [PMID: 38994097 PMCID: PMC11237951 DOI: 10.1016/j.heliyon.2024.e32791] [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: 05/01/2024] [Accepted: 06/10/2024] [Indexed: 07/13/2024] Open
Abstract
In humans, FOXP gene family is involved in embryonic development and cancer progression. The FOXP4 (Forkhead box protein P4) gene belongs to this FOXP gene family. FOXP4 gene plays a crucial role in oncogenesis. Single nucleotide polymorphisms are biological markers and common determinants of human diseases. Mutations can largely affect the function of the corresponding protein. Therefore, the molecular mechanism of nsSNPs in the FOXP4 gene needs to be elucidated. Initially, the SNPs of the FOXP4 gene were extracted from the dbSNP database and a total of 23124 SNPs was found, where 555 nonsynonymous, 20525 intronic, 1114 noncoding transcript, 334 synonymous were obtained and the rest were unspecified. Then, a series of bioinformatics tools (SIFT, PolyPhen2, SNAP2, PhD SNP, PANTHER, I-Mutant2.0, MUpro, GOR IV, ConSurf, NetSurfP 2.0, HOPE, DynaMut2, GeneMANIA, STRING and Schrodinger) were used to explore the effect of nsSNPs on FOXP4 protein function and structural stability. First, 555 nsSNPs were analyzed using SIFT, of which 57 were found as deleterious. Following, PolyPhen2, SNAP2, PhD SNP and PANTHER analyses, 10 nsSNPs (rs372762294, rs141899153, rs142575732, rs376938850, rs367607523, rs112517943, rs140387832, rs373949416, rs373949416 and rs376160648) were common and observed as deleterious, damaging and diseases associated. Following that, using I-Mutant2.0 and MUpro servers, 7 nsSNPs were found to be the most unstable. GOR IV predicted that these seven nsSNPs affect protein structure by altering the protein contents of alpha helixes, extended strands, and random coils. Following DynaMut2, 5 nsSNPs showed a decrease in the ΔΔG value compared with the wild-type and were found to be responsible for destabilizing the corresponding protein. GeneMANIA and STRING network revealed interaction of FOXP4 with other genes. Finally, molecular dynamics simulation analysis revealed consistent fluctuation in RMSD and RMSF values, Rg and hydrogen bonds in the mutant proteins compared with WT, which might alter the functional and structural stability of the corresponding protein. As a result, the aforementioned integrated comprehensive bioinformatic analyses provide insight into how various nsSNPs of the FOXP4 gene change the structural and functional properties of the corresponding protein, potentially proceeding with the pathophysiology of human diseases.
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Affiliation(s)
- Md Mostafa Kamal
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
- Laboratory of Computational Biology, Biological Solution Centre, Jashore, 7408, Bangladesh
| | - Shamiha Tabassum Teeya
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Md Mahfuzur Rahman
- Department of Genetic Engineering & Biotechnology, Bangabandhu Sheikh Mujibur Rahman Maritime University, Dhaka, 1216, Bangladesh
| | - Md Enamul Kabir Talukder
- Department of Genetic Engineering & Biotechnology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
- Laboratory of Computational Biology, Biological Solution Centre, Jashore, 7408, Bangladesh
| | - Sonia Sarmin
- BIRTAN-Bangladesh Institute of Research and Training on Applied Nutrition, Jhenaidah, 7300, Bangladesh
| | - Tanveer A Wani
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Md Mahmudul Hasan
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
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Kamal MM, Mia MS, Faruque MO, Rabby MG, Islam MN, Talukder MEK, Wani TA, Rahman MA, Hasan MM. In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene. Sci Rep 2024; 14:11607. [PMID: 38773180 PMCID: PMC11109216 DOI: 10.1038/s41598-024-62299-2] [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: 01/16/2024] [Accepted: 05/15/2024] [Indexed: 05/23/2024] Open
Abstract
Single nucleotide polymorphisms (SNPs) are one of the most common determinants and potential biomarkers of human disease pathogenesis. SNPs could alter amino acid residues, leading to the loss of structural and functional integrity of the encoded protein. In humans, members of the minichromosome maintenance (MCM) family play a vital role in cell proliferation and have a significant impact on tumorigenesis. Among the MCM members, the molecular mechanism of how missense SNPs of minichromosome maintenance complex component 6 (MCM6) contribute to DNA replication and tumor pathogenesis is underexplored and needs to be elucidated. Hence, a series of sequence and structure-based computational tools were utilized to determine how mutations affect the corresponding MCM6 protein. From the dbSNP database, among 15,009 SNPs in the MCM6 gene, 642 missense SNPs (4.28%), 291 synonymous SNPs (1.94%), and 12,500 intron SNPs (83.28%) were observed. Out of the 642 missense SNPs, 33 were found to be deleterious during the SIFT analysis. Among these, 11 missense SNPs (I123S, R207C, R222C, L449F, V456M, D463G, H556Y, R602H, R633W, R658C, and P815T) were found as deleterious, probably damaging, affective and disease-associated. Then, I123S, R207C, R222C, V456M, D463G, R602H, R633W, and R658C missense SNPs were found to be highly harmful. Six missense SNPs (I123S, R207C, V456M, D463G, R602H, and R633W) had the potential to destabilize the corresponding protein as predicted by DynaMut2. Interestingly, five high-risk mutations (I123S, V456M, D463G, R602H, and R633W) were distributed in two domains (PF00493 and PF14551). During molecular dynamics simulations analysis, consistent fluctuation in RMSD and RMSF values, high Rg and hydrogen bonds in mutant proteins compared to wild-type revealed that these mutations might alter the protein structure and stability of the corresponding protein. Hence, the results from the analyses guide the exploration of the mechanism by which these missense SNPs of the MCM6 gene alter the structural integrity and functional properties of the protein, which could guide the identification of ways to minimize the harmful effects of these mutations in humans.
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Affiliation(s)
- Md Mostafa Kamal
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Md Sohel Mia
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Md Omar Faruque
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Md Golam Rabby
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Md Numan Islam
- Department of Food Engineering, North Pacific International University of Bangladesh, Dhaka, Bangladesh
| | | | - Tanveer A Wani
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia
| | - M Atikur Rahman
- Department of Biological Sciences, Alabama State University, 915 S Jackson St, Montgomery, AL, 36104, USA.
| | - Md Mahmudul Hasan
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
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Rabby MG, Rahman MH, Islam MN, Kamal MM, Biswas M, Bonny M, Hasan MM. In silico identification and functional prediction of differentially expressed genes in South Asian populations associated with type 2 diabetes. PLoS One 2023; 18:e0294399. [PMID: 38096208 PMCID: PMC10721103 DOI: 10.1371/journal.pone.0294399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023] Open
Abstract
Type 2 diabetes (T2D) is one of the major metabolic disorders in humans caused by hyperglycemia and insulin resistance syndrome. Although significant genetic effects on T2D pathogenesis are experimentally proved, the molecular mechanism of T2D in South Asian Populations (SAPs) is still limited. Hence, the current research analyzed two Gene Expression Omnibus (GEO) and 17 Genome-Wide Association Studies (GWAS) datasets associated with T2D in SAP to identify DEGs (differentially expressed genes). The identified DEGs were further analyzed to explore the molecular mechanism of T2D pathogenesis following a series of bioinformatics approaches. Following PPI (Protein-Protein Interaction), 867 potential DEGs and nine hub genes were identified that might play significant roles in T2D pathogenesis. Interestingly, CTNNB1 and RUNX2 hub genes were found to be unique for T2D pathogenesis in SAPs. Then, the GO (Gene Ontology) showed the potential biological, molecular, and cellular functions of the DEGs. The target genes also interacted with different pathways of T2D pathogenesis. In fact, 118 genes (including HNF1A and TCF7L2 hub genes) were directly associated with T2D pathogenesis. Indeed, eight key miRNAs among 2582 significantly interacted with the target genes. Even 64 genes were downregulated by 367 FDA-approved drugs. Interestingly, 11 genes showed a wide range (9-43) of drug specificity. Hence, the identified DEGs may guide to elucidate the molecular mechanism of T2D pathogenesis in SAPs. Therefore, integrating the research findings of the potential roles of DEGs and candidate drug-mediated downregulation of marker genes, future drugs or treatments could be developed to treat T2D in SAPs.
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Affiliation(s)
- Md. Golam Rabby
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Khulna, Bangladesh
| | - Md. Hafizur Rahman
- Department of Agro Product Processing Technology, Jashore University of Science and Technology, Khulna, Bangladesh
- Faculty of Food Sciences and Safety, Department of Quality Control and Safety Management, Khulna Agricultural University, Khulna, Bangladesh
| | - Md. Numan Islam
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Khulna, Bangladesh
| | - Md. Mostafa Kamal
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Khulna, Bangladesh
| | - Mrityunjoy Biswas
- Department of Agro Product Processing Technology, Jashore University of Science and Technology, Khulna, Bangladesh
| | - Mantasa Bonny
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Khulna, Bangladesh
| | - Md. Mahmudul Hasan
- Department of Nutrition and Food Technology, Jashore University of Science and Technology, Khulna, Bangladesh
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Long F, Zhang Z, Luo C, Lei X, Guo J, An L. Exploring the molecular mechanism of Ling-Gui-Zhu-Gan decoction for the treatment of type 2 diabetes mellitus based on network pharmacology and molecular docking: A review. Medicine (Baltimore) 2023; 102:e33210. [PMID: 36961137 PMCID: PMC10036033 DOI: 10.1097/md.0000000000033210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/15/2023] [Indexed: 03/25/2023] Open
Abstract
To investigate the mechanism of action of the classical formula Ling-Gui-Zhu-Gan (LGZG) decoction in treating type 2 diabetes mellitus based on network pharmacology and molecular docking. The active ingredients and targets of LGZG decoction were collected by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database and mapped using Cytoscape software to show their interrelationships. GeneCards, Pharmacogenomics Knowledge Base, OMIM, Therapeutic Target Database, and Drugbank databases were used to obtain targets related to type 2 diabetes; protein-protein interaction networks were established with the help of the STRING platform. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed on selected core targets with the help of the Metascape platform. Finally, the AutoDock platform was used to perform molecular docking and display the results by Pymol software. One hundred twenty-one active ingredients, 216 effective target genes, 11,277 type 2 diabetes mellitus-related genes, 210 crossover genes, and 18 core genes were obtained for LGZG decoction. The results obtained by Kyoto Encyclopedia of Genes and Genomes indicated that the advanced glycosylation end products-receptor of advanced glycosylation end products signaling pathway, the phosphatidylinositol 3 kinase-Akt signaling pathway, and HIF-1 signaling pathway might be the key signaling pathways. Molecular docking showed that the binding energy of quercetin, kaempferol, naringenin, and licorice chalcone A to the core target genes were all <5.0 kJ-mol-1, with good affinity. In this study, the potential active ingredients and mechanisms of action of LGZG decoction in the treatment of type 2 diabetes were initially investigated, which provided a basis for the in-depth study of its drug basis and mechanisms of action.
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Affiliation(s)
- Feng Long
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Zhe Zhang
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Chunxiu Luo
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Xiao Lei
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Jinlian Guo
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Lin An
- Department of Traditional Chinese Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
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