Uncertainty Quantification in Alchemical Free Energy Methods

被引:49
|
作者
Bhati, Agastya P. [1 ]
Wan, Shunzhou [1 ]
Hu, Yuan [2 ,3 ]
Sherborne, Brad [2 ]
Coveney, Peter, V [1 ]
机构
[1] UCL, Dept Chem, Ctr Computat Sci, 20 Gordon St, London WC1H 0AJ, England
[2] Merck & Co Inc, Modeling & Informat, 2000 Galloping Hill Rd, Kenilworth, NJ 07033 USA
[3] Alkermes Inc, Discovery, Modeling & Informat, 852 Winter St, Waltham, MA 02451 USA
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; BINDING FREE-ENERGIES; SOLUTE TEMPERING REST2; REPLICA-EXCHANGE; THERMODYNAMIC-INTEGRATION; BIOMOLECULAR SYSTEMS; AFFINITY PREDICTION; BIOLOGICAL-SYSTEMS; FORCE-FIELD; DRUG DESIGN;
D O I
10.1021/acs.jctc.7b01143
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Alchemical free energy methods have gained much importance recently from several reports of improved ligand-protein binding affinity predictions based on their implementation using molecular dynamics simulations. A large number of variants of such methods implementing different accelerated sampling techniques and free energy estimators are available, each claimed to be better than the others in its own way. However, the key features of reproducibility and quantification of associated uncertainties in such methods have barely been discussed. Here, we apply a systematic protocol for uncertainty quantification to a number of popular alchemical free energy methods, covering both absolute and relative free energy predictions. We show that a reliable measure of error estimation is provided by ensemble simulation-an ensemble of independent MD simulations-which applies irrespective of the free energy method. The need to use ensemble methods is fundamental and holds regardless of the duration of time of the molecular dynamics simulations performed.
引用
收藏
页码:2867 / 2880
页数:14
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