Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysisopen access
- Authors
- Singh, Pooja; Kumar, Vikas; Lee, Keun Woo; Hong, 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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