广告
癌症研究
限制
计算生物学
生物
生物信息学
医学
药品
药理学
机械工程
工程类
作者
Abhijit Debnath,Rajesh Kumar Singh,Rupa Mazumder,Avijit Mazumder,Shikha Srivastava,Hema Chaudhary,Saloni Mangal,Jahanvi Sanchitra,Pankaj Tyagi,Sachin Kumar Singh,Anil Kumar Singh
标识
DOI:10.1080/10799893.2024.2441185
摘要
CDK12 is essential for cellular processes like RNA processing, transcription, and cell cycle regulation, inhibiting cancer cell growth and facilitating macrophage invasion. CDK12 is a significant oncogenic factor in various cancers, including HER2-positive breast cancer, Anaplastic thyroid carcinoma, Hepatocellular carcinoma, prostate cancer, and Ewing sarcoma. It is also regarded as a potential biomarker, emphasizing its broader significance in oncology. Targeting CDK12 offers a promising strategy to develop therapy. Various monoclonal antibodies have drawn wide attention, but they are expensive compared to small-molecule inhibitors, limiting their accessibility and affordability for patients. Consequently, this research aims to identify effective CDK12 inhibitors using comprehensive high-throughput virtual screening. RASPD protocol has been employed to screen three different databases against the target followed by drug-likeness, molecular docking, ADME, toxicity, Consensus molecular docking, MD Simulation, and
科研通智能强力驱动
Strongly Powered by AbleSci AI