Literature DB >> 21955044

Discovery of novel checkpoint kinase 1 inhibitors by virtual screening based on multiple crystal structures.

Yan Li1, Dong Joon Kim, Weiya Ma, Ronald A Lubet, Ann M Bode, Zigang Dong.   

Abstract

Incorporating receptor flexibility is considered crucial for improvement of docking-based virtual screening. With an abundance of crystallographic structures freely available, docking with multiple crystal structures is believed to be a practical approach to cope with protein flexibility. Here we describe a successful application of the docking of multiple structures to discover novel and potent Chk1 inhibitors. Forty-six Chk1 structures were first compared in single structure docking by predicting the binding mode and recovering known ligands. Combinations of different protein structures were then compared by recovery of known ligands and an optimal ensemble of Chk1 structures were selected. The chosen structures were used in the virtual screening of over 60 000 diverse compounds for Chk1 inhibitors. Six novel compounds ranked at the top of the hits list were tested experimentally, and two of these compounds inhibited Chk1 activity-the best with an IC(50) value of 9.6 μM. Further study indicated that achieving a better enrichment and identifying more diverse compounds was more likely using multiple structures than using only a single structure even when protein structures were randomly selected. Taking into account conformational energy difference did not help to improve enrichment in the top ranked list.

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Year:  2011        PMID: 21955044      PMCID: PMC3244973          DOI: 10.1021/ci200257b

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


  56 in total

1.  The 1.7 A crystal structure of human cell cycle checkpoint kinase Chk1: implications for Chk1 regulation.

Authors:  P Chen; C Luo; Y Deng; K Ryan; J Register; S Margosiak; A Tempczyk-Russell; B Nguyen; P Myers; K Lundgren; C C Kan; P M O'Connor
Journal:  Cell       Date:  2000-03-17       Impact factor: 41.582

Review 2.  Conformational flexibility models for the receptor in structure based drug design.

Authors:  M L Teodoro; L E Kavraki
Journal:  Curr Pharm Des       Date:  2003       Impact factor: 3.116

3.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

Review 4.  The many roles of computation in drug discovery.

Authors:  William L Jorgensen
Journal:  Science       Date:  2004-03-19       Impact factor: 47.728

5.  Testing a flexible-receptor docking algorithm in a model binding site.

Authors:  Binqing Q Wei; Larry H Weaver; Anna M Ferrari; Brian W Matthews; Brian K Shoichet
Journal:  J Mol Biol       Date:  2004-04-09       Impact factor: 5.469

6.  Protein flexibility in ligand docking and virtual screening to protein kinases.

Authors:  Claudio N Cavasotto; Ruben A Abagyan
Journal:  J Mol Biol       Date:  2004-03-12       Impact factor: 5.469

Review 7.  Targeting the checkpoint kinases: chemosensitization versus chemoprotection.

Authors:  Bin-Bing S Zhou; Jiri Bartek
Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

Review 8.  Chk1 and Chk2 kinases in checkpoint control and cancer.

Authors:  Jiri Bartek; Jiri Lukas
Journal:  Cancer Cell       Date:  2003-05       Impact factor: 31.743

9.  Identification of a minimal subset of receptor conformations for improved multiple conformation docking and two-step scoring.

Authors:  Sukjoon Yoon; William J Welsh
Journal:  J Chem Inf Comput Sci       Date:  2004 Jan-Feb

10.  Synthesis and evaluation of substituted benzoisoquinolinones as potent inhibitors of Chk1 kinase.

Authors:  Robert M Garbaccio; Shaei Huang; Edward S Tasber; Mark E Fraley; Youwei Yan; Sanjeev Munshi; Mari Ikuta; Lawrence Kuo; Constanine Kreatsoulas; Steve Stirdivant; Bob Drakas; Keith Rickert; Eileen S Walsh; Kelly A Hamilton; Carolyn A Buser; James Hardwick; Xianzhi Mao; Stephen C Beck; Marc T Abrams; Weikang Tao; Rob Lobell; Laura Sepp-Lorenzino; George D Hartman
Journal:  Bioorg Med Chem Lett       Date:  2007-09-07       Impact factor: 2.823

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  9 in total

Review 1.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

Review 2.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

3.  Statistical analysis of EGFR structures' performance in virtual screening.

Authors:  Yan Li; Xiang Li; Zigang Dong
Journal:  J Comput Aided Mol Des       Date:  2015-10-17       Impact factor: 3.686

4.  A cross docking pipeline for improving pose prediction and virtual screening performance.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2017-08-23       Impact factor: 3.686

5.  An exhaustive yet simple virtual screening campaign against Sortase A from multiple drug resistant Staphylococcus aureus.

Authors:  Reaz Uddin; Kiran Saeed
Journal:  Mol Biol Rep       Date:  2014-05-06       Impact factor: 2.316

6.  The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.

Authors:  Jie Xia; Jui-Hua Hsieh; Huabin Hu; Song Wu; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2017-06-01       Impact factor: 4.956

7.  ALiBERO: evolving a team of complementary pocket conformations rather than a single leader.

Authors:  Manuel Rueda; Max Totrov; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2012-09-17       Impact factor: 4.956

8.  Concerted dynamic motions of an FABP4 model and its ligands revealed by microsecond molecular dynamics simulations.

Authors:  Yan Li; Xiang Li; Zigang Dong
Journal:  Biochemistry       Date:  2014-10-02       Impact factor: 3.162

9.  Ligand pose and orientational sampling in molecular docking.

Authors:  Ryan G Coleman; Michael Carchia; Teague Sterling; John J Irwin; Brian K Shoichet
Journal:  PLoS One       Date:  2013-10-01       Impact factor: 3.240

  9 in total

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