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Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysisopen access

Authors
Singh, PoojaKumar, VikasLee, Keun WooHong, Jong Chan
Issue Date
Jul-2024
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
SHP2; receptor-based pharmacophore modeling; molecular docking; molecular dynamic simulations; cancer; MM-PBSA; PCA
Citation
Pharmaceuticals, v.17, no.7
Indexed
SCIE
SCOPUS
Journal Title
Pharmaceuticals
Volume
17
Number
7
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/73435
DOI
10.3390/ph17070935
ISSN
1424-8247
Abstract
SHP2 belongs to a cytoplasmic non-receptor protein tyrosine phosphatase class. It plays a critical role in the development of various cancers, such as gastric cancer, leukemia, and breast cancer. Thus, SHP2 has gained the interest of researchers as a potential target for inhibiting tumor cell proliferation in SHP2-dependent cancers. This study employed pharmacophore-based virtual screening, molecular docking, molecular dynamic (MD) simulations, MM/PBSA, and principal component analysis (PCA), followed by ADME prediction. We selected three potential hits from a collective database of more than one million chemical compounds. The stability of these selected hit-protein complexes was analyzed using 500 ns MD simulations and binding free energy calculations. The identified hits Lig_1, Lig_6, and Lig_14 demonstrated binding free energies of -161.49 kJ/mol, -151.28 kJ/mol, and -107.13 kJ/mol, respectively, compared to the reference molecule (SHP099) with a Delta G of -71.48 kJ/mol. Our results showed that the identified compounds could be used as promising candidates for selective SHP2 allosteric inhibition in cancer.
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