Literature DB >> 26280564

Binding affinities by alchemical perturbation using QM/MM with a large QM system and polarizable MM model.

Samuel Genheden1, Ulf Ryde2, Pär Söderhjelm3.   

Abstract

The most general way to improve the accuracy of binding-affinity calculations for protein-ligand systems is to use quantum-mechanical (QM) methods together with rigorous alchemical-perturbation (AP) methods. We explore this approach by calculating the relative binding free energy of two synthetic disaccharides binding to galectin-3 at a reasonably high QM level (dispersion-corrected density functional theory with a triple-zeta basis set) and with a sufficiently large QM system to include all short-range interactions with the ligand (744-748 atoms). The rest of the protein is treated as a collection of atomic multipoles (up to quadrupoles) and polarizabilities. Several methods for evaluating the binding free energy from the 3600 QM calculations are investigated in terms of stability and accuracy. In particular, methods using QM calculations only at the endpoints of the transformation are compared with the recently proposed non-Boltzmann Bennett acceptance ratio (NBB) method that uses QM calculations at several stages of the transformation. Unfortunately, none of the rigorous approaches give sufficient statistical precision. However, a novel approximate method, involving the direct use of QM energies in the Bennett acceptance ratio method, gives similar results as NBB but with better precision, ∼3 kJ/mol. The statistical error can be further reduced by performing a greater number of QM calculations.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  Bennett acceptance ratio; alchemical transformation; binding affinity; dispersion-corrected density functional theory; free-energy perturbation; galectin-3; protein-ligand interaction; quantum chemistry; quantum-mechanical/molecular mechanics

Mesh:

Substances:

Year:  2015        PMID: 26280564     DOI: 10.1002/jcc.24048

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


  12 in total

1.  Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Andrew C Simmonett; Florentina Tofoleanu; Juyong Lee; Pavlo O Dral; Samarjeet Prasad; Michael Jones; Yihan Shao; Walter Thiel; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-08-30       Impact factor: 3.686

2.  Blind prediction of distribution in the SAMPL5 challenge with QM based protomer and pK a corrections.

Authors:  Frank C Pickard; Gerhard König; Florentina Tofoleanu; Juyong Lee; Andrew C Simmonett; Yihan Shao; Jay W Ponder; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-19       Impact factor: 3.686

3.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

4.  An efficient protocol for obtaining accurate hydration free energies using quantum chemistry and reweighting from molecular dynamics simulations.

Authors:  Frank C Pickard; Gerhard König; Andrew C Simmonett; Yihan Shao; Bernard R Brooks
Journal:  Bioorg Med Chem       Date:  2016-08-22       Impact factor: 3.641

5.  Development of a Robust Indirect Approach for MM → QM Free Energy Calculations That Combines Force-Matched Reference Potential and Bennett's Acceptance Ratio Methods.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2019-09-17       Impact factor: 6.006

6.  Use of Interaction Energies in QM/MM Free Energy Simulations.

Authors:  Phillip S Hudson; H Lee Woodcock; Stefan Boresch
Journal:  J Chem Theory Comput       Date:  2019-07-02       Impact factor: 6.006

7.  Force matching as a stepping stone to QM/MM CB[8] host/guest binding free energies: a SAMPL6 cautionary tale.

Authors:  Phillip S Hudson; Kyungreem Han; H Lee Woodcock; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

8.  Assessing the stability of free-energy perturbation calculations by performing variations in the method.

Authors:  Francesco Manzoni; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2018-03-13       Impact factor: 3.686

9.  Accelerating QM/MM Free Energy Computations via Intramolecular Force Matching.

Authors:  Phillip S Hudson; Stefan Boresch; David M Rogers; H Lee Woodcock
Journal:  J Chem Theory Comput       Date:  2018-11-15       Impact factor: 6.006

10.  Converging ligand-binding free energies obtained with free-energy perturbations at the quantum mechanical level.

Authors:  Martin A Olsson; Pär Söderhjelm; Ulf Ryde
Journal:  J Comput Chem       Date:  2016-04-27       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.