A SAR and QSAR study on cyclin dependent kinase 4 inhibitors using machine learning methods-Reference-Cited by-同舟云学术

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A SAR and QSAR study on cyclin dependent kinase 4 inhibitors using machine learning methods

Published:2023 Issue:4 Volume:2 Page:1026-1041
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Pang Xiaoyang¹,Zhao Yunyang¹,Li Guo¹,Liu Jianrong²,Yan Aixia¹^ORCID

Affiliation:

1. State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, Beijing University of Chemical Technology, Beijing, P. R. China

2. BUCT-Paris Curie Engineer School, Beijing University of Chemical Technology, Beijing 100029, P. R. China

Abstract

Machine learning methods are used to predict the inhibitory activity of the compound targeting cyclin dependent kinase 4 (CDK4), and analyse fragment features of CDK4 inhibitors.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/DD/D2DD00143H

Reference69 articles.

1. CDK4/6 inhibitors: a brief overview and prospective research directions

2. Clinical considerations of CDK4/6 inhibitors in triple-negative breast cancer

3. Senescence as a therapeutically relevant response to CDK4/6 inhibitors

4. CDK4 and CDK6 kinases: From basic science to cancer therapy

5. Inhibiting CDK4/6 in Breast Cancer with Palbociclib, Ribociclib, and Abemaciclib: Similarities and Differences

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