Determination of promising inhibitors for N-SH2 domain of SHP2 tyrosine phosphatase: an in silico study.
Emel Başak Gencer AkçokHüseyin GünerHuseyin GunerPublished in: Molecular diversity (2024)
There are many genes that produce proteins related to diseases and these proteins can be targeted with drugs as a potential therapeutic approach. Recent advancement in drug discovery techniques have created new opportunities for treating variety of diseases by targeting disease-related proteins. Structure-based drug discovery is a faster and more cost-effective approach than traditional methods. SHP2 phosphatase, encoded by the PTPN11 gene, has been the focus of much attention due to its involvement in many types of diseases. The biological function of SHP2 is enabled mostly by protein-protein interaction through its SH2 domains. In this study, we report the identification of a potential small molecule inhibitor for the N-SH2 domain of SHP2 by structure-based drug discovery approach. We utilized molecular docking studies, followed by molecular dynamics simulations and MM/PBSA calculations, to analyze compounds retrieved from the Broad's Drug Repurposing Hub and ZINC15 databases. We selected 10 hit compounds with the best docking scores from the libraries and examined their binding properties in the N-SH2 domain. We found that compound CID 60838 (Irinotecan) was the most suitable compound with a binding free energy value of - 64.45 kcal/mol and significant interactions with the target residues in the domain.
Keyphrases
- drug discovery
- molecular dynamics simulations
- molecular docking
- protein protein
- small molecule
- bioinformatics analysis
- genome wide
- risk assessment
- emergency department
- mass spectrometry
- machine learning
- working memory
- density functional theory
- deep learning
- high resolution
- dna binding
- artificial intelligence
- climate change
- case control
- adverse drug
- liquid chromatography
- tandem mass spectrometry