Literature DB >> 19391785

Massively parallel computation of absolute binding free energy with well-equilibrated states.

Hideaki Fujitani1, Yoshiaki Tanida, Azuma Matsuura.   

Abstract

A force field formulator for organic molecules (FF-FOM) was developed to assign bond, angle, and dihedral parameters to arbitrary organic molecules in a unified manner including proteins and nucleic acids. With the unified force field parametrization we performed massively parallel computations of absolute binding free energies for pharmaceutical target proteins and ligands. Compared with the previous calculation with the ff99 force field in the Amber simulation package (Amber99) and the ligand charges produced by the Austin Model 1 bond charge correction (AM1-BCC), the unified parametrization gave better absolute binding energies for the FK506 binding protein (FKBP) and ligand system. Our method is based on extensive work measurement between thermodynamic states to calculate the free energy difference and it is also the same as the traditional free energy perturbation. There are important requirements for accurate calculations. The first is a well-equilibrated bound structure including the conformational change of the protein induced by the binding of the ligand. The second requirement is the convergence of the work distribution with a sufficient number of trajectories and dense spacing of the coupling constant between the ligand and the rest of the system. Finally, the most important requirement is the force field parametrization.

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Year:  2009        PMID: 19391785     DOI: 10.1103/PhysRevE.79.021914

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  27 in total

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2.  Dependency of ligand free energy landscapes on charge parameters and solvent models.

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Journal:  J Comput Aided Mol Des       Date:  2010-05-22       Impact factor: 3.686

3.  Docking study and binding free energy calculation of poly (ADP-ribose) polymerase inhibitors.

Authors:  Kazuki Ohno; Takashi Mitsui; Yoshiaki Tanida; Azuma Matsuura; Hideaki Fujitani; Tatsuya Niimi; Masaya Orita
Journal:  J Mol Model       Date:  2010-05-18       Impact factor: 1.810

Review 4.  Alchemical free energy methods for drug discovery: progress and challenges.

Authors:  John D Chodera; David L Mobley; Michael R Shirts; Richard W Dixon; Kim Branson; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2011-02-23       Impact factor: 6.809

5.  Free-energy landscape of molecular interactions between endothelin 1 and human endothelin type B receptor: fly-casting mechanism.

Authors:  Junichi Higo; Kota Kasahara; Mitsuhito Wada; Bhaskar Dasgupta; Narutoshi Kamiya; Tomonori Hayami; Ikuo Fukuda; Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Protein Eng Des Sel       Date:  2019-12-31       Impact factor: 1.650

6.  E487K-Induced Disorder in Functionally Relevant Dynamics of Mitochondrial Aldehyde Dehydrogenase 2.

Authors:  Shigeyuki Matsumoto; Mitsugu Araki; Yuta Isaka; Fumie Ono; Kenshiro Hirohashi; Shinya Ohashi; Manabu Muto; Yasushi Okuno
Journal:  Biophys J       Date:  2020-07-10       Impact factor: 4.033

7.  Machine learning accelerates MD-based binding pose prediction between ligands and proteins.

Authors:  Kei Terayama; Hiroaki Iwata; Mitsugu Araki; Yasushi Okuno; Koji Tsuda
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

8.  New method for calculating the absolute free energy of binding: the effect of a mobile loop on the avidin/biotin complex.

Authors:  Ignacio J General; Ralitsa Dragomirova; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2010-12-15       Impact factor: 2.991

9.  CHARMM-GUI Free Energy Calculator for Absolute and Relative Ligand Solvation and Binding Free Energy Simulations.

Authors:  Seonghoon Kim; Hiraku Oshima; Han Zhang; Nathan R Kern; Suyong Re; Jumin Lee; Benoît Roux; Yuji Sugita; Wei Jiang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2020-10-28       Impact factor: 6.006

10.  Two novel ALK mutations mediate acquired resistance to the next-generation ALK inhibitor alectinib.

Authors:  Ryohei Katayama; Luc Friboulet; Sumie Koike; Elizabeth L Lockerman; Tahsin M Khan; Justin F Gainor; A John Iafrate; Kengo Takeuchi; Makoto Taiji; Yasushi Okuno; Naoya Fujita; Jeffrey A Engelman; Alice T Shaw
Journal:  Clin Cancer Res       Date:  2014-09-16       Impact factor: 12.531

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