J 2022

Property Map Collective Variable as a Useful Tool for a Force Field Correction

TRAPL, Dalibor, MArtin KRUPIČKA, Vladimír VIŠŇOVSKÝ, Jana HOZZOVÁ, Jaroslav OĽHA et. al.

Základní údaje

Originální název

Property Map Collective Variable as a Useful Tool for a Force Field Correction

Název česky

Property Map Collective Variable as a Useful Tool for a Force Field Correction

Autoři

TRAPL, Dalibor (203 Česká republika), MArtin KRUPIČKA (203 Česká republika), Vladimír VIŠŇOVSKÝ (703 Slovensko, domácí), Jana HOZZOVÁ (703 Slovensko, domácí), Jaroslav OĽHA (703 Slovensko, domácí), Aleš KŘENEK (203 Česká republika, garant, domácí) a Vojtěch SPIWOK (203 Česká republika)

Vydání

Journal of Chemical Information and Modeling, American Chemical Society, 2022, 1549-9596

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 5.600

Kód RIV

RIV/00216224:14610/22:00129035

Organizační jednotka

Ústav výpočetní techniky

UT WoS

000762974500013

Klíčová slova anglicky

collective variable; biased potential; force field

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 14. 3. 2023 15:51, Mgr. Alena Mokrá

Anotace

V originále

The accuracy of biomolecular simulations depends on the accuracy of an empirical molecular mechanics potential known as a force field: a set of parameters and expressions to estimate the potential from atomic coordinates. Accurate parametrization of force fields for small organic molecules is a challenge due to their high diversity. One of the possible approaches is to apply a correction to the existing force fields. Here, we propose an approach to estimate the density functional theory (DFT)-derived force field correction which is calculated during the run of molecular dynamics without significantly affecting its speed. Using the formula known as a property map collective variable, we approximate the force field correction by a weighted average of this force field correction calculated only for a small series of reference structures. To validate this method, we used seven AMBER force fields, and we show how it is possible to convert one force field to behave like the other one. We also present the force field correction for the important anticancer drug Imatinib as a use case example. Our method appears to be suitable for adjusting the force field for general drug-like molecules. We provide a pipeline that generates the correction; this pipeline is available at https://pmcvff-correction.cerit-sc.cz/.

Česky

The accuracy of biomolecular simulations depends on the accuracy of an empirical molecular mechanics potential known as a force field: a set of parameters and expressions to estimate the potential from atomic coordinates. Accurate parametrization of force fields for small organic molecules is a challenge due to their high diversity. One of the possible approaches is to apply a correction to the existing force fields. Here, we propose an approach to estimate the density functional theory (DFT)-derived force field correction which is calculated during the run of molecular dynamics without significantly affecting its speed. Using the formula known as a property map collective variable, we approximate the force field correction by a weighted average of this force field correction calculated only for a small series of reference structures. To validate this method, we used seven AMBER force fields, and we show how it is possible to convert one force field to behave like the other one. We also present the force field correction for the important anticancer drug Imatinib as a use case example. Our method appears to be suitable for adjusting the force field for general drug-like molecules. We provide a pipeline that generates the correction; this pipeline is available at https://pmcvff-correction.cerit-sc.cz/.

Návaznosti

GA19-16857S, projekt VaV
Název: Zpřesnění molekulárně mechanických potenciálů léčivům podobných molekul metodou property map
Investor: Grantová agentura ČR, Zpřesnění molekulárně mechanických potenciálů léčivům podobných molekul metodou property map