ArticleScientific reports2023
In silico mutagenesis-based designing of oncogenic SHP2 peptide to inhibit cancer progression.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Engineering of the Melanoma Inhibitor of Apoptosis (ML-IAP) Anticancer Peptide Through Comprehensive In Silico Approaches.Human mutation · 2026Article
- Prediction of SafD adhesin strong binding peptides for pilus proteins assembly suppression in the prevention ofIn silico pharmacology · 2025Article
- In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections.Scientific reports · 2024Article
- A robust computational quest: Discovering potential hits to improve the treatment of pyrazinamide-resistant Mycobacterium tuberculosis.Journal of cellular and molecular medicine · 2024Article
- Structure-guided design and cloning of peptide inhibitors targeting CDK9/cyclin T1 protein-protein interaction.Frontiers in pharmacology · 2024Article
- Vitamin B6Current neuropharmacology · 2024Article
- Structure based virtual screening and molecular simulation study of FDA-approved drugs to inhibit human HDAC6 and VISTA as dual cancer immunotherapy.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is among the top causes of death, accounting for an estimated 9.6 million deaths in 2018, it appeared that approximately 500,000 people die from cancer in the United States alone annually. The SHP2 plays a major role in regulation of cell growth, proliferation, and differentiation, and functional upregulation of this enzyme is linked to oncogenesis and developmental disorders. SHP2 activity has been linked to several cancer types for which no drugs are currently available. In our study, we aimed to design peptide inhibitors against the SHP2 mutant. The crystal structure of the human Src SH2-PQpYEEIPI peptide mutant was downloaded from the protein databank. We generated several peptides from the native wild peptide using an in silico mutagenesis method, which showed that changes (P302W, Y304F, E306Q, and Q303A) might boost the peptide's affinity for binding to SHP2. Furthermore, the dynamical stability and binding affinities of the mutated peptide were confirmed using Molecular dynamics simulation and Molecular Mechanics with Generalized Born and Surface Area Solvation free energy calculations. The proposed substitution greatly enhanced the binding affinity at the residue level, according to a study that decomposed energy into its component residues. Our proposed peptide may prevent the spread of cancer by inhibiting SHP2, according to our detailed analyses of binding affinities.
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