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Machine Learning-Guided Virtual Screening Identifies a Novel MELK-Targeted Antiproliferative Lead Compound with G2/M Arrest Activity in Triple-Negative Breast Cancer and Lung Adenocarcinoma Cells.
Cao W, Jiang B, Chi X, Li W, Yang H, Li X, Zhao Y, Zhang X, Meng R, Cang Y, Du G, Wang J

Machine Learning-Guided Virtual Screening Identifies a Novel MELK-Targeted Antiproliferative Lead Compound with G2/M Arrest Activity in Triple-Negative Breast Cancer and Lung Adenocarcinoma Cells.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Cancers (Basel).

Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title Machine Learning-Guided Virtual Screening Identifies a Novel MELK-Targeted Antiproliferative Lead Compound with G2/M Arrest Activity in Triple-Negative Breast Cancer and Lung Adenocarcinoma Cells.
Author / Organization Cao W, Jiang B, Chi X, Li W, Yang H, Li X, Zhao Y, Zhang X, Meng R, Cang Y, Du G, Wang J
Subject & Discipline Cancers (Basel)
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-266287
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »