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Accurate Characterization of Binding Kinetics and Allosteric Mechanisms for the HSP90 Chaperone Inhibitors Using AI-Augmented Integrative Biophysical Studies
2024-04
发表期刊JACS AU (IF:8.5[JCR-2023],8.5[5-Year])
ISSN2691-3704
卷号4期号:4页码:1632-1645
发表状态已发表
DOI10.1021/jacsau.4c00123
摘要

The binding kinetics of drugs to their targets are gradually being recognized as a crucial indicator of the efficacy of drugs in vivo, leading to the development of various computational methods for predicting the binding kinetics in recent years. However, compared with the prediction of binding affinity, the underlying structure and dynamic determinants of binding kinetics are more complicated. Efficient and accurate methods for predicting binding kinetics are still lacking. In this study, quantitative structure–kinetics relationship (QSKR) models were developed using 132 inhibitors targeting the ATP binding domain of heat shock protein 90α (HSP90α) to predict the dissociation rate constant (koff), enabling a direct assessment of the drug–target residence time. These models demonstrated good predictive performance, where hydrophobic and hydrogen bond interactions significantly influence the koff prediction. In subsequent applications, our models were used to assist in the discovery of new inhibitors for the N-terminal domain of HSP90α (N-HSP90α), demonstrating predictive capabilities on an experimental validation set with a new scaffold. In X-ray crystallography experiments, the loop-middle conformation of apo N-HSP90α was observed for the first time (previously, the loop-middle conformation had only been observed in holo-N-HSP90α structures). Interestingly, we observed different conformations of apo N-HSP90α simultaneously in an asymmetric unit, which was also observed in a holo-N-HSP90α structure, suggesting an equilibrium of conformations between different states in solution, which could be one of the determinants affecting the binding kinetics of the ligand. Different ligands can undergo conformational selection or alter the equilibrium of conformations, inducing conformational rearrangements and resulting in different effects on binding kinetics. We then used molecular dynamics simulations to describe conformational changes of apo N-HSP90α in different conformational states. In summary, the study of the binding kinetics and molecular mechanisms of N-HSP90α provides valuable information for the development of more targeted therapeutic approaches.

关键词machine learning drug–target binding kinetics quantitative structure–kinetics relationship (QSKR) heat shock protein 90 (HSP90) molecular dynamics simulations
收录类别ESCI
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/424471
专题免疫化学研究所
信息科学与技术学院
生命科学与技术学院_博士生
免疫化学研究所_PI研究组_白芳组
共同第一作者Xianglei Zhang
通讯作者Fang Bai
作者单位
1.ShanghaiTech University, Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology
2.Chapman University, Schmid College of Science and Technology
3.Keck Center for Science and Engineering, Graduate Program in Computational and Data Sciences
4.ShanghaiTech University, School of Information Science and Technology
5.Shanghai Clinical Research and Trial Center
第一作者单位免疫化学研究所
通讯作者单位免疫化学研究所;  信息科学与技术学院
第一作者的第一单位免疫化学研究所
推荐引用方式
GB/T 7714
Chao Xu,Xianglei Zhang,Lianghao Zhao,et al. Accurate Characterization of Binding Kinetics and Allosteric Mechanisms for the HSP90 Chaperone Inhibitors Using AI-Augmented Integrative Biophysical Studies[J]. JACS AU,2024,4(4):1632-1645.
APA Chao Xu,Xianglei Zhang,Lianghao Zhao,Gennady M. Verkhivker,&Fang Bai.(2024).Accurate Characterization of Binding Kinetics and Allosteric Mechanisms for the HSP90 Chaperone Inhibitors Using AI-Augmented Integrative Biophysical Studies.JACS AU,4(4),1632-1645.
MLA Chao Xu,et al."Accurate Characterization of Binding Kinetics and Allosteric Mechanisms for the HSP90 Chaperone Inhibitors Using AI-Augmented Integrative Biophysical Studies".JACS AU 4.4(2024):1632-1645.
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