Combined quantum mechanics/molecular mechanics (QM/MM) Monte Carlo free energy simulations: a feasibility study
Combined quantum mechanics/molecular mechanics (QM/MM) Monte Carlo free energy simulations: a feasibility study
批准号:
EP/E022197/1
负责人:
Adrian Mulholland
金额:
$7.56万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --
中文摘要
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英文摘要
Despite the advances of science, millions of people still die every year from incurable diseases. Unfortunately, the costs of drug development are so high that the focus of medicinal research is into profitable Western diseases. To reduce the costs of developing new medicinal drugs, we would like to be able to use computers to model how a potential drug works within the body, and to use this knowledge to design new and better drugs. Building computational models like this is challenging, requiring a delicate balance between putting enough detail into the model to get realistic behaviour, and making the model as simple as possible so that it doesn't take too long to run the calculations. Until now, the majority of models used have been very simple, modelling the atoms of a drug as balls on springs. By treating the atoms as solid balls, the models neglect the atom's most chemically important part, namely the electrons. This is a severe oversight, as it is the interactions of electrons that determine whether the drug could dissolve in your blood, work its way into your cells, and bind to, and thus neutralize, the proteins of any attacking bacteria or virus. It is possible to model electrons in molecules using quantum mechanics. However, to model the entire protein/drug system using quantum mechanics would be too computationally expensive. We propose to research the use of quantum mechanics to model just the electrons that are part of, and near to, the drug molecule. The rest of the protein can still be treated by simple ball and springs models to make the calculations possible. The new methods we will develop add important extra detail, making them more realistic and better able to model how drugs interact. At the same time, this combined approach should mean that the calculations are practical to do. What makes our planned work different is that it will involve the development of a mixed model specifically tailored for medicinal drug design. Creating a mixed model for this use will require that significant challenges are overcome, and that new ways are developed to handle the interactions between the quantum mechanics part of the model with the ball on springs part.
期刊论文(10)
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DOI:
10.3390/e21080750
发表时间:
2019-07-31
期刊:
Entropy (Basel, Switzerland)
影响因子:
--
作者:
[Ali HS, Higham J, Henchman RH]
通讯作者:
Henchman RH
DOI:
10.1021/acs.jctc.1c00547
发表时间:
2021-10-12
期刊:
Journal of chemical theory and computation
影响因子:
5.5
作者:
[Ansell TB, Curran L, Horrell MR, Pipatpolkai T, Letham SC, Song W, Siebold C, Stansfeld PJ, Sansom MSP, Corey RA]
通讯作者:
Corey RA
New methods: general discussion.
新方法:一般性讨论。
DOI:
10.1039/c6fd90075e
发表时间:
2016
期刊:
Faraday discussions
影响因子:
3.4
作者:
[Angulo G]
通讯作者:
Angulo G
DOI:
10.1109/mcse.2020.3024155
发表时间:
2020-11
期刊:
Computing in science & engineering
影响因子:
2.1
作者:
[Amaro RE, Mulholland AJ]
通讯作者:
Mulholland AJ
Predictive multiscale free energy simulations of hybrid transition metal catalysts
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项目类别:Research Grant
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资助金额:$83.71万
-
财政年份:2022
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负责人:Adrian Mulholland
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依托单位:
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Predicting drug-target binding kinetics through multiscale simulations
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BristolBridge: Bridging the Gaps between the Engineering and Physical Sciences and Antimicrobial Resistance
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资助金额:$75.45万
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Computational tools for enzyme engineering: bridging the gap between enzymologists and expert simulation
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The UK High-End Computing Consortium for Biomolecular Simulation
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项目类别:Research Grant
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资助金额:$36.76万
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项目类别:Research Grant
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资助金额:$13.47万
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财政年份:2013
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负责人:Adrian Mulholland
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依托单位:
CCP-BioSim: Biomolecular simulation at the life sciences interface
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项目类别:Research Grant
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资助金额:$36.64万
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负责人:Adrian Mulholland
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依托单位:
Adaptive Multi-Resolution Massively-Multicore Hybrid Dynamics
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项目类别:Research Grant
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资助金额:$50.74万
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依托单位:
Combined experimental and computational investigations of a nucleophilic displacement reaction with a hydride leaving group
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项目类别:Research Grant
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资助金额:$35.87万
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依托单位:
Multiscale Ensemble Computing for Modelling Biological Catalysts
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项目类别:Research Grant
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资助金额:$9.84万
-
财政年份:2009
-
负责人:Adrian Mulholland
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依托单位:
Computational biochemistry: predictive modelling for biology and medicine
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批准号:EP/G007705/1
-
项目类别:Fellowship
-
资助金额:$144.88万
-
财政年份:2008
-
负责人:Adrian Mulholland
-
依托单位:
国内基金
海外基金
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Research on Quantum Field Theory without a Lagrangian Description
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依托单位:
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