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Computational Screening of a Functional Cyclodextrin Derivative for Suppressing a Side Effect of Doxorubicin.

作者信息

Sugita Masatake, Kuwano Izumi, Higashi Taishi, Motoyama Keiichi, Arima Hidetoshi, Hirata Fumio

机构信息

Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, 1-1-1, Noji-higashi Kusatsu, Shiga 525-8577, Japan.

Department of Computer Science, School of Computing, Tokyo Institute of Technology, W8-76, 2-12-1, Ookayama Meguro-ku, Tokyo, 152-8550, Japan.

出版信息

J Phys Chem B. 2021 Mar 11;125(9):2308-2316. doi: 10.1021/acs.jpcb.1c00373. Epub 2021 Mar 1.

Abstract

The binding affinity of the beta-cyclodextrin (β-CyD) derivatives with Doxorubicin (Dox) is evaluated by means of the 3D-RISM/KH theory combined with the molecular dynamics simulation in order to screen the compounds for suppressing a side-effect of the cancer drug. A protocol revised for the external and conformational entropies of the host-guest system is employed to calculate the binding free energy. It is found that the direct interactions of CyD with Dox and the desolvation free-energies of the both compounds largely cancel out to leave moderate contributions to the affinity, which are comparable to those from the entropies. The results shed light on the entropy terms for determining the binding affinity, although the external-entropy terms are essentially constant over all the compounds examined and do not affect the screening. The theoretical result is compared with the experimental data of the association constant for a CyD derivative which was predicted to be the best compound by the preliminary calculation without the entropy terms.

摘要

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