Cooperation of structural motifs controls drug selectivity in cyclin-dependent kinases: an advanced theoretical analysis

Author:

Wang Lingling1,Xu Lei2,Wang Zhe3,Hou TingjunORCID,Hao Haiping4,Sun Huiyong1ORCID

Affiliation:

1. Department of Medicinal Chemistry, China Pharmaceutical University , Nanjing 210009, Jiangsu, P. R . China

2. Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology , Changzhou 213001, Jiangsu, P. R . China

3. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University , Hangzhou 310058, Zhejiang, P. R . China

4. State Key Laboratory of Natural Medicines, Key Lab of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University , 210009 Nanjing , China

Abstract

Abstract Understanding drug selectivity mechanism is a long-standing issue for helping design drugs with high specificity. Designing drugs targeting cyclin-dependent kinases (CDKs) with high selectivity is challenging because of their highly conserved binding pockets. To reveal the underlying general selectivity mechanism, we carried out comprehensive analyses from both the thermodynamics and kinetics points of view on a representative CDK12 inhibitor. To fully capture the binding features of the drug-target recognition process, we proposed to use kinetic residue energy analysis (KREA) in conjunction with the community network analysis (CNA) to reveal the underlying cooperation effect between individual residues/protein motifs to the binding/dissociating process of the ligand. The general mechanism of drug selectivity in CDKs can be summarized as that the difference of structural cooperation between the ligand and the protein motifs leads to the difference of the energetic contribution of the key residues to the ligand. The proposed mechanisms may be prevalent in drug selectivity issues, and the insights may help design new strategies to overcome/attenuate the drug selectivity associated problems.

Funder

China Pharmaceutical University

Natural Science Foundation of Zhejiang Province

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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