Computational analysis for residue-specific CDK2-inhibitor bindings

Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas, leukemia, and lymphomas. Quantitative characterization of the interactions between CD...

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Published inChinese journal of chemical physics Vol. 32; no. 1; pp. 134 - 142
Main Authors Yang, Yun-peng, He, Li-ping, Bao, Jing-xiao, Qi, Yi-fei, Zhang, John Z. H.
Format Journal Article
LanguageEnglish
Published NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China 01.02.2019
Department of Chemistry, New York University, NY, NY 10003, USA
NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China
School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China%School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062,China
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Summary:Cyclin-dependent kinase 2 (CDK2) is a key macromolecule in cell cycle regulation. In cancer cells, CDK2 is often overexpressed and its inhibition is an effective therapy of many cancers including breast carcinomas, leukemia, and lymphomas. Quantitative characterization of the interactions between CDK2 and its inhibitors at atomic level may provide a deep understanding of protein-inhibitor interactions and clues for more effective drug discovery. In this study, we have used the computational alanine scanning approach in combination with an efficient interaction entropy method to study the microscopic mechanism of binding between CDK2 and its 13 inhibitors. The total binding free energy from the method shows a correlation of 0.76−0.83 with the experimental values. The free energy component reveals two binding mode in the 13 complexes, namely van der Waals dominant, and electrostatic dominant. Decomposition of the total energy to per-residue contribution allows us to identify five hydrophobic residues as hot spots during the binding. Residues that are responsible for determining the strength of the binding were also analyzed.
ISSN:1674-0068
2327-2244
DOI:10.1063/1674-0068/cjcp1901012