Structural impact, ligand-protein interactions, and molecular phenotypic effects of TGF- fi 1 gene variants: In silico analysis with implications for idiopathic pulmonary fibrosis

Background: Idiopathic Pulmonary Fibrosis (IPF) is a chronic interstitial lung disease resulting in progressively deteriorating lung function. Transforming growth factor-beta 1 (TGF-beta 1) belongs to the TGF superfamily and exerts a profibrotic role in promoting lung fibrosis by facilitating fibroblast infiltration and activity, extracellular matrix deposition, and inhibition of collagen breakdown, thus promoting tissue remodelling and IPF. Materials and Methods: We evaluated the link between pathogenic TGF-fi1 SNPs and IPF pathogenesis and the structure-activity functional consequences of those SNPs on the TGF-beta 1 protein. Several computational algorithms were merged to address the functional consequences of TGF-fi1 gene mutations to protein stability, putative post-translational modification sites, ligand-protein interactions, and molecular phenotypic effects. These included FATHMM, POLYPHEN2, PROVEAN, and SIFT tools (identifying deleterious nsSNPs in the TGF-fi1 gene), along with Pmut, PhD-SNP, SNAP, MutPred and the related TMHMM, MARCOIL, and DisProt algorithms (predicting structural disorders). INPS-MD was also used to evaluate the mutation-induced TGF-beta 1 protein's stability and MODPRED for recognition of post-translational TGF-beta 1 modification. Results: In total, 14 major pathogenic variants markedly impact the destabilization of the TGF-beta 1 protein, with most of these high-risk mutations associated with decreased stability of the TGF-beta 1 protein as per the I-Mutant, MUpro, and INPS-MD tools. R205W, R185W, R180Q, D86Y, and I300T variants were proposed to participate in the post-translational modifications, thus affecting affect protein-ligand interactions. Furthermore, at-risk genetic variants appear to target conserved regions in the alpha helices, random coils, and extracellular loops, resulting in a varied composition of amino acids, charge, hydrophobicity, and spatial architecture. Conclusions: This study manuscript comprehensively analyzes gene variants within the TGF-fi1 gene, offering novel insights into their structural and functional implications in interacting with target sites. This study is significant for the development of targeted therapeutic strategies and personalized treatment approaches for patients with inflammatory lung diseases such as IPF.