ArticlePloS one2018
Identification and in silico analysis of functional SNPs of human TAGAP protein: A comprehensive study.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 99 citations in OpenAlex.
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- Single Nucleotide Polymorphisms Associated with Rheumatoid Arthritis in Saudi Patients.Journal of clinical medicine · 2023Article
- Discovering Deleterious Single Nucleotide Polymorphisms of Human AKT1 Oncogene: An In Silico Study.Life (Basel, Switzerland) · 2023Article
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- Prediction and expression analysis of deleterious nonsynonymous SNPs of Arabidopsis ACD11 gene by combining computational algorithms and molecular docking approach.PLoS computational biology · 2022Article
- Familial Partial Lipodystrophy-Literature Review and Report of a Novel Variant inDiagnostics (Basel, Switzerland) · 2022Article
- Structural Consequence of Non-Synonymous Single-Nucleotide Variants in the N-Terminal Domain of LIS1.International journal of molecular sciences · 2022Article
- PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflow.Journal of cheminformatics · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic polymorphisms in TAGAP gene have been associated with many diseases including rheumatoid arthritis, multiple sclerosis and other autoimmune disorders. Identifying functional SNPs in such disease associated genes is an uphill task hence before planning larger population study, it is better to scrutinize putative functional SNPs. In this study we used various computational approaches to identify nsSNPs which are deleterious to the structure and/or function of TAGAP protein that might be causing these diseases. Computational analysis was performed by five different in silico tools including SIFT, PROVEAN, PolyPhen-2, PhD-SNP and SNPs&GO. The study concludes that mutations of Glycine → Glutamic Acid at position 120, Glycine → Tryptophan at position 141 and Valine → Methionine at position 151 are major mutations in native TAGAP protein which might contribute to its malfunction and ultimately causing disease. The study also proposed 3D structures of native TAGAP protein and its three mutants. Future studies should consider these nsSNPs as main target mutations in various diseases involving TAGAP malfunction. This is the first comprehensive study, where TAGAP gene variants were analyzed using in silico tools hence will be of great help while considering large scale studies and also in developing precision medicines for cure of diseases related to these polymorphisms. Furthermore, animal models of various autoimmune diseases and having these mutations might be of help in exploring their precise roles.
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