Uncertainty Quantification in Alchemical Free Energy Methods.
Uncertainty Quantification in Alchemical Free Energy Methods.
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DOI:
10.1021/acs.jctc.7b01143
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发表时间:
2018-06-12
影响因子:
5.5
通讯作者:
Coveney PV
中科院分区:
文献类型:
--
作者:
Bhati AP;Wan S;Hu Y;Sherborne B;Coveney PV
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.
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DOI:
10.1098/rsta.2016.0153
发表时间:
2016-11-13
期刊:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子:
--
作者:
Coveney PV;Dougherty ER;Highfield RR
通讯作者:
Highfield RR
影响因子:
15
作者:
Aldeghi M;Heifetz A;Bodkin MJ;Knapp S;Biggin PC
通讯作者:
Biggin PC
影响因子:
2.8
作者:
BEUTLER, TC;MARK, AE;VANGUNSTEREN, WF
通讯作者:
VANGUNSTEREN, WF
影响因子:
4.4
作者:
Fukunishi, H;Watanabe, O;Takada, S
通讯作者:
Takada, S
影响因子:
8.4
作者:
Aldeghi M;Heifetz A;Bodkin MJ;Knapp S;Biggin PC
通讯作者:
Biggin PC