Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale.
Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale.
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DOI:
10.1021/acs.jcim.2c01153
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发表时间:
2022-11-28
影响因子:
5.6
通讯作者:
Cole, Daniel J.
中科院分区:
文献类型:
--
作者:
Horton, Joshua T.;Boothroyd, Simon;Wagner, Jeffrey;Mitchell, Joshua A.;Gokey, Trevor;Dotson, David L.;Behara, Pavan Kumar;Ramaswamy, Venkata Krishnan;Mackey, Mark;Chodera, John D.;Anwar, Jamshed;Mobley, David L.;Cole, Daniel J.
The development of accurate transferable force fields is key to realizing the full potential of atomistic modeling in the study of biological processes such as protein–ligand binding for drug discovery. State-of-the-art transferable force fields, such as those produced by the Open Force Field Initiative, use modern software engineering and automation techniques to yield accuracy improvements. However, force field torsion parameters, which must account for many stereoelectronic and steric effects, are considered to be less transferable than other force field parameters and are therefore often targets for bespoke parametrization. Here, we present the Open Force Field QCSubmit and BespokeFit software packages that, when combined, facilitate the fitting of torsion parameters to quantum mechanical reference data at scale. We demonstrate the use of QCSubmit for simplifying the process of creating and archiving large numbers of quantum chemical calculations, by generating a dataset of 671 torsion scans for druglike fragments. We use BespokeFit to derive individual torsion parameters for each of these molecules, thereby reducing the root-mean-square error in the potential energy surface from 1.1 kcal/mol, using the original transferable force field, to 0.4 kcal/mol using the bespoke version. Furthermore, we employ the bespoke force fields to compute the relative binding free energies of a congeneric series of inhibitors of the TYK2 protein, and demonstrate further improvements in accuracy, compared to the base force field (MUE reduced from 0.560.390.77 to 0.420.280.59 kcal/mol and R2 correlation improved from 0.720.350.87 to 0.930.840.97).
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DOI:
10.1021/acs.jpca.0c10845
发表时间:
2021-04-01
期刊:
The journal of physical chemistry. A
影响因子:
--
作者:
Kania A;Sarapata K;Gucwa M;Wójcik-Augustyn A
通讯作者:
Wójcik-Augustyn A
影响因子:
8.6
作者:
Heller SR;McNaught A;Pletnev I;Stein S;Tchekhovskoi D
通讯作者:
Tchekhovskoi D
影响因子:
1.1
作者:
GODBOUT, N;SALAHUB, DR;WIMMER, E
通讯作者:
WIMMER, E
影响因子:
4.4
作者:
BECKE, AD
通讯作者:
BECKE, AD
影响因子:
8.4
作者:
Gapsys V;Pérez-Benito L;Aldeghi M;Seeliger D;van Vlijmen H;Tresadern G;de Groot BL
通讯作者:
de Groot BL