4.7 Article

Potential target identification for breast cancer and screening of small molecule inhibitors: A bioinformatics approach

期刊

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
卷 39, 期 6, 页码 1975-1989

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2020.1743757

关键词

Differential gene expression analysis; PPI network analysis; Molecular dynamics simulation; MMGBSA; per-residue decomposition

资金

  1. Department of Science and Technology Innovation in Scientific Pursuit for Inspired Research (DST-INSPIRE), New Delhi

向作者/读者索取更多资源

PAK1 plays a significant role in breast cancer pathways and may have a regulatory role in breast carcinogenesis. Additionally, PAK1 is involved in the progression of various diseases. Through virtual screening, potential small molecule inhibitors targeting PAK1 have been identified.
In the current study, we investigated the role of PAK1 (P21 (RAC1) Activated Kinase 1) gene in breast cancer and to this end, we performed differential gene expression analysis of PAK1 in breast cancer tissues compared to the normal adjacent tissue. We also studied its significance in protein-protein interaction (PPI) network, and analysed biological pathways, cellular processes, and role of PAK1 in different diseases. We found PAK1 to have significant role in breast cancer pathways such as integrin signaling, axonal guidance signaling, signaling by Rho family GTPases, ERK5 signaling. Additionally, it has been found as hub gene in PPI network, suggesting its possible regulatory role in breast carcinogenesis. Moreover, PAK1 had role in progression of various diseases as neoplasia, tumorigenesis, lymphatic neoplasia. Thereby, PAK1 can be used as a therapeutic target in breast cancer. Further, we put our efforts in identification of potential small molecules inhibitors against PAK1 by developing a composite virtual screening protocol involving molecular dynamics (MD) and molecular docking. The chemical library of compounds from NCI diversity sets, Pubchem and eMolecules were screened against PAK1 protein and hits which showed good binding affinity were considered for MD simulation study. Moreover, to assess binding of selected hits, MMGBSA (Molecular Mechanics-Generalized Born Surface Area) analysis was performed using AMBER (Assisted Model Building with Energy Refinement) package. MMGBSA calculations exhibited that the identified ligands showed good binding affinity with PAK1.

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