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Updated: Jun 4, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
Published on: April 3, 2026
Structure-based virtual screening approach to the discovery of phosphoinositide 3-kinase alpha inhibitors
Hwangseo Park1, Hwanho Choi, Seunghee Hong
1Department of Bioscience and Biotechnology, Sejong University, 98 Kunja-Dong, Kwangjin-Ku, Seoul 143-747, Republic of Korea. dsoh@kiom.re.kr
Abstract:
Phosphoinositide 3-kinase alpha (PI3Kα) has proved to be an attractive target for the development of therapeutics for the treatment of cancer. Herein we report a successful application of the structure-based virtual screening to identify the novel inhibitors of PI3Kα. These inhibitors have desirable physicochemical properties as a drug candidate and reveal a moderate potency with IC(50) values ranging from 20 to 40 μM. Therefore, they deserve a consideration for further development by structure-activity relationship (SAR) studies to optimize the inhibitory activities. Structural features relevant to the stabilization of the newly identified inhibitors in the ATP-binding site of PI3Kα are addressed in detail.
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