In silico modeling of the interaction between TEX19 and LIRE1, and analysis of TEX19 gene missense SNPs
- PMID: 34036740
- PMCID: PMC8372073
- DOI: 10.1002/mgg3.1707
In silico modeling of the interaction between TEX19 and LIRE1, and analysis of TEX19 gene missense SNPs
Abstract
Background: Testis expressed 19 (TEX19) is a specific human stem cell gene identified as cancer-testis antigen (CTA), which emerged as a potential therapeutic drug target. TEX19.1, a mouse paralog of human TEX19, can interact with LINE-1 retrotransposable element ORF1 protein (LIRE1) and subsequently restrict mobilization of LINE-1 elements in the genome.
Aim: This study aimed to predict the interaction of TEX19 with LIRE1 and analyze TEX19 missense polymorphisms. TEX19 model was generated using I-TASSER and the interaction between TEX19 and LIRE1 was studied using the HADDOCK software.
Methods: The stability of the docking formed complex was studied through the molecular dynamic simulation using GROMACS. Missense SNPs (n=102) of TEX19 were screened for their potential effects on protein structure and function using different software.
Results: Outcomes of this study revealed amino acids that potentially stabilize the predicted interaction interface between TEX19 and LIRE1. Of these SNPs, 37 were predicted to play a probably damaging role for the protein, three of them (F35S, P61R, and E55L) located at the binding site of LIRE1 and could disturb this binding affinity.
Conclusion: This information can be verified by further in vitro and in vivo experimentations and could be exploited for potential therapeutic targets.
Keywords: LINE-1; MD simulation; SNPs analysis; TEX19; molecular docking.
© 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.
Conflict of interest statement
The authors have declared no conflict of interest.
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