Literature DB >> 23952683

Insight into crizotinib resistance mechanisms caused by three mutations in ALK tyrosine kinase using free energy calculation approaches.

Huiyong Sun1, Youyong Li, Dan Li, Tingjun Hou.   

Abstract

As a safe and efficacious drug, crizotinib was approved by the U.S. Food and Drug Administration (FDA) in 2011 for the treatment of advanced fusion-type nonsmall-cell lung cancer. Although high response ratio was detected from the patients treated with crizotinib, the cancer has eventually conferred resistance to crizotinib. Several drug resistance mutations have been found in the anaplastic lymphoma kinase (ALK) tyrosine kinase domain as the target for crizotinib, but the drug resistance mechanisms remain unclear. Therefore, in this study, the adaptive biasing force (ABF) method and two-end-state free energy calculation approaches were employed to elucidate the resistance mechanisms of crizotinib induced by the mutations L1152R, G1202R, and S1206Y. The ABF simulation results suggest that the reaction coordinates for the unbinding processes of crizotinib from the binding pockets of the mutated ALKs is different from that of the wild type ALK. The potentials of mean force for the crizotinib unbinding and the binding free energies predicted by the two-end-state free energy calculations are consistent with the experimental data. Our results indicate that the three mutations weaken the binding affinity of crizotinib obviously and lead to drug resistance. The free energy decomposition analysis illustrates the importance of the loss of two important H-bonds in the L1152R and S1206Y mutants on drug resistance. The entropy analysis shows that the entropy term plays a critical role in the substantial change of the conformational entropies of G1202R and L1152R. Our results reveal the mechanisms of drug resistance and provide vital clues for the development of new inhibitors to combat drug resistance.

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Year:  2013        PMID: 23952683     DOI: 10.1021/ci400188q

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  19 in total

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Authors:  Wanli You; Chia-En A Chang
Journal:  J Chem Inf Model       Date:  2018-04-16       Impact factor: 4.956

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Authors:  Anish Kumar; K Ramanathan
Journal:  J Mol Model       Date:  2014-06-21       Impact factor: 1.810

3.  PF-06463922 is a potent and selective next-generation ROS1/ALK inhibitor capable of blocking crizotinib-resistant ROS1 mutations.

Authors:  Helen Y Zou; Qiuhua Li; Lars D Engstrom; Melissa West; Vicky Appleman; Katy A Wong; Michele McTigue; Ya-Li Deng; Wei Liu; Alexei Brooun; Sergei Timofeevski; Scott R P McDonnell; Ping Jiang; Matthew D Falk; Patrick B Lappin; Timothy Affolter; Tim Nichols; Wenyue Hu; Justine Lam; Ted W Johnson; Tod Smeal; Al Charest; Valeria R Fantin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-02       Impact factor: 11.205

4.  Exploring the crizotinib resistance mechanism of NSCLC with the L1196M mutation using molecular dynamics simulation.

Authors:  Maryam Kay; Fariba Dehghanian
Journal:  J Mol Model       Date:  2017-10-24       Impact factor: 1.810

5.  Computing Protein-Protein Association Affinity with Hybrid Steered Molecular Dynamics.

Authors:  Roberto A Rodriguez; Lili Yu; Liao Y Chen
Journal:  J Chem Theory Comput       Date:  2015-09-08       Impact factor: 6.006

6.  Activity of second-generation ALK inhibitors against crizotinib-resistant mutants in an NPM-ALK model compared to EML4-ALK.

Authors:  Diletta Fontana; Monica Ceccon; Carlo Gambacorti-Passerini; Luca Mologni
Journal:  Cancer Med       Date:  2015-02-26       Impact factor: 4.452

7.  Revealing the favorable dissociation pathway of type II kinase inhibitors via enhanced sampling simulations and two-end-state calculations.

Authors:  Huiyong Sun; Sheng Tian; Shunye Zhou; Youyong Li; Dan Li; Lei Xu; Mingyun Shen; Peichen Pan; Tingjun Hou
Journal:  Sci Rep       Date:  2015-02-13       Impact factor: 4.379

8.  Constructing and Validating High-Performance MIEC-SVM Models in Virtual Screening for Kinases: A Better Way for Actives Discovery.

Authors:  Huiyong Sun; Peichen Pan; Sheng Tian; Lei Xu; Xiaotian Kong; Youyong Li; Tingjun Hou
Journal:  Sci Rep       Date:  2016-04-22       Impact factor: 4.379

9.  Influence of Chirality of Crizotinib on Its MTH1 Protein Inhibitory Activity: Insight from Molecular Dynamics Simulations and Binding Free Energy Calculations.

Authors:  Yuzhen Niu; Dabo Pan; Danfeng Shi; Qifeng Bai; Huanxiang Liu; Xiaojun Yao
Journal:  PLoS One       Date:  2015-12-17       Impact factor: 3.240

10.  P-loop conformation governed crizotinib resistance in G2032R-mutated ROS1 tyrosine kinase: clues from free energy landscape.

Authors:  Huiyong Sun; Youyong Li; Sheng Tian; Junmei Wang; Tingjun Hou
Journal:  PLoS Comput Biol       Date:  2014-07-17       Impact factor: 4.475

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