Literature DB >> 20020482

A molecular mechanics model for imatinib and imatinib:kinase binding.

Alexey Aleksandrov1, Thomas Simonson.   

Abstract

Imatinib is an important anticancer drug, which binds specifically to the Abl kinase and blocks its signalling activity. To model imatinib:protein interactions, we have developed a molecular mechanics force field for imatinib and four close analogues, which is consistent with the CHARMM force field for proteins and nucleic acids. Atomic charges and Lennard-Jones parameters were derived from a supermolecule ab initio approach. We considered the ab initio energies and geometries of a probe water molecule interacting with imatinib fragments at 32 different positions. We considered both a neutral and a protonated imatinib. The final RMS deviation between the ab initio and force field energies, averaged over both forms, was 0.2 kcal/mol. The model also reproduces the ab initio geometry and flexibility of imatinib. To apply the force field to imatinib:Abl simulations, it is also necessary to determine the most likely imatinib protonation state when it binds to Abl. This was done using molecular dynamics free energy simulations, where imatinib is reversibly protonated during a series of MD simulations, both in solution and in complex with Abl. The simulations indicate that imatinib binds to Abl in its protonated, positively-charged form. To help test the force field and the protonation prediction, we did MD free energy simulations that compare the Abl binding affinities of two imatinib analogs, obtaining good agreement with experiment. Finally, two new imatinib variants were considered, one of which is predicted to have improved Abl binding. This variant could be of interest as a potential drug. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2010        PMID: 20020482     DOI: 10.1002/jcc.21442

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  10 in total

1.  Conformational landscape and low lying excited states of imatinib.

Authors:  Emil Vinţeler; Nicoleta-Florina Stan; Raluca Luchian; Călin Căinap; João P Prates Ramalho; Vasile Chiş
Journal:  J Mol Model       Date:  2015-03-13       Impact factor: 1.810

2.  Computational analysis of the binding specificity of Gleevec to Abl, c-Kit, Lck, and c-Src tyrosine kinases.

Authors:  Yen-Lin Lin; Benoît Roux
Journal:  J Am Chem Soc       Date:  2013-09-20       Impact factor: 15.419

3.  Recent Developments and Applications of the CHARMM force fields.

Authors:  Xiao Zhu; Pedro E M Lopes; Alexander D Mackerell
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2011-06-28

4.  Explaining why Gleevec is a specific and potent inhibitor of Abl kinase.

Authors:  Yen-Lin Lin; Yilin Meng; Wei Jiang; Benoît Roux
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-14       Impact factor: 11.205

5.  Molecular Determinants Underlying Binding Specificities of the ABL Kinase Inhibitors: Combining Alanine Scanning of Binding Hot Spots with Network Analysis of Residue Interactions and Coevolution.

Authors:  Amanda Tse; Gennady M Verkhivker
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

6.  Computational study of the "DFG-flip" conformational transition in c-Abl and c-Src tyrosine kinases.

Authors:  Yilin Meng; Yen-lin Lin; Benoît Roux
Journal:  J Phys Chem B       Date:  2015-01-15       Impact factor: 2.991

7.  Characterization and Targeting of Platelet-Derived Growth Factor Receptor alpha (PDGFRA) in Inflammatory Breast Cancer (IBC).

Authors:  Madhura Joglekar-Javadekar; Steven Van Laere; Michael Bourne; Manal Moalwi; Pascal Finetti; Peter B Vermeulen; Daniel Birnbaum; Luc Y Dirix; Naoto Ueno; Monique Carter; Justin Rains; Abhijit Ramachandran; Francois Bertucci; Kenneth L van Golen
Journal:  Neoplasia       Date:  2017-06-10       Impact factor: 5.715

8.  Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields.

Authors:  Caley Allen; Hailey R Bureau; T Dwight McGee; Stephen Quirk; Rigoberto Hernandez
Journal:  Chemphyschem       Date:  2022-07-05       Impact factor: 3.520

9.  Computational study of Gleevec and G6G reveals molecular determinants of kinase inhibitor selectivity.

Authors:  Yen-Lin Lin; Yilin Meng; Lei Huang; Benoît Roux
Journal:  J Am Chem Soc       Date:  2014-10-07       Impact factor: 15.419

10.  Molecular interactions of c-ABL mutants in complex with imatinib/nilotinib: a computational study using linear interaction energy (LIE) calculations.

Authors:  Elen Gomes Pereira; Miguel Angelo Martins Moreira; Ernesto Raúl Caffarena
Journal:  J Mol Model       Date:  2012-05-09       Impact factor: 1.810

  10 in total

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