课题基金 / 基金详情

Computer Simulation of Enzymatic Reactions

Computer Simulation of Enzymatic Reactions
酶反应的计算机模拟
批准号:
6456421
负责人:
ARIEH WARSHEL
金额:
$26.88万
依托单位国家:
美国
项目类别:
财政年份:
1978
资助国家:
美国
项目状态:
已结题
起止时间:
1978-01-01 至 2006-03-31

项目摘要

项目成果

ARIEH WARSHEL的其他基金

相似基金

相关文献

中文摘要
翻译
获得酶作用的定量描述是分子生物学最重要的挑战之一。因此,我们建议继续我们的研究项目,旨在开发,完善和实施的计算模型模拟酶反应。在以前的资助期间,我们已经证明了我们的经验价键(EVB)方法的普遍适用性。近年来,我们开始开发更严格的从头算方法,利用计算机能力的不断增加。我们的新战略包括:(a)量子力学(ab initio)/朗之万偶极(QM(ai)/LD)模型,其提供关于溶液中反应的势能面的关键信息。这使我们能够校准EV B表面的酶的研究;(B)从头算自由能扰动(QM(ai)/FEP)使用EV B表面作为参考电位,从而使我们能够开始评估从头算自由能的酶反应;和(c)约束密度泛函理论(CDFT)的方法,这使我们能够代表大部分的蛋白质在从头算水平。虽然这些方法仍然需要进一步验证,我们准备使用它们在酶催化的研究。除了方法开发项目外,我们还在研究不同类型的酶促反应和探索不同催化机制的可行性方面取得了重大进展。为了利用我们的先进技术,我们建议在以下三个方向推进:(a)我们将进行方法开发研究,包括:(i)改进我们的从头算方法,用于构建参考溶液反应。特别是,我们将专注于过渡态搜索和评估的熵修正的溶液反应;(ii)使用溶液表面的EVB表面的自动细化;(iii)使用的EVB表面作为参考电位的EVB表面的自动细化;(iii)使用的EVB表面作为参考电位的QM(ai)/FEP研究的酶;(iv)CDFT研究的金属酶。(b)我们将对几类重要的酶反应进行系统的研究,包括:(i)丝氨酸和半胱氨酸蛋白酶;(ii)DNA聚合酶;和(iii)核糖核酸酶。(c)我们将研究不同催化方案的相对重要性,包括(i)熵效应;(ii)低势垒氢键;(iii)近攻击构象;和(iv)酶活性位点的预组织。
英文摘要
Gaining a quantitative description of enzyme action is one of the most important challenges of molecular biology. Thus, we propose a continuation of our research projects aimed at the development, refinement, and implementation of computational models for simulations of enzymatic reactions. During previous grant periods we have demonstrated the general applicability of our empirical valence bond (EVB) approach. In recent years we started to develop more rigorous ab initio approaches that exploit the increasing availability of computer power. Our new strategies include: (a) quantum mechanical (ab initio)/Langevin dipole (QM(ai)/LD) model which provide crucial information about potential surfaces of reactions in solution. This allows us to calibrate EVB surfaces for studies of enzymes; (b) an ab initio free energy perturbation (QM(ai)/FEP) which uses EVB surfaces as reference potentials and thus allows us to start evaluating ab initio free energies of enzymatic reactions; and (c) a constrain density functional theory (CDFT) approach, which allows us to represent large parts of the protein at the ab initio level. Although these approaches still require further validation, we are ready to use them in studies of enzymatic catalysis. In addition to the method development projects, we have made significant progress in studying different classes of enzymatic reactions and in exploring the feasibility of different catalytic mechanisms. In order to exploit our advanced we propose to advance in the following three directions: (a) we will conduct method development studies that will include: (i) improving our ab initio approaches for constructing reference solution reactions. In particular, we will focus on transition state search and evaluation of entropic corrections for solution reactions; (ii) using solution surfaces in automated refined of EVB surfaces; (iii) using the EVB surfaces as reference potentials in automated refinement of EVB surfaces; (iii) using the EVB surfaces as reference potentials for QM(ai)/FEP studies of enzymes; (iv) CDFT studies of metalloenzyme. (b) We will conduct systematic studies of several important classes of enzymatic reactions including: (i) serine and cysteine proteases; (ii) DNA polymerase; and (iii) ribonuclease. (c) We will conduct studies of the relative importance of different catalytic proposals, including (i) entropic effects; (ii) low barrier hydrogen bond; (iii) near attack conformers; and (iv) pre-organization of enzyme active sites.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Multiscale Simulations of Biological Systems and Processes
Multiscale Simulations of Biological Systems and Processes
Multiscale Simulations of Biological Systems and Processes
Multiscale Simulations of Biological Systems and Processes
国内基金
海外基金
2D co-catalyst/TiO2{001}协同光催化甲烷制C2+液态含氧化合物
  • 批准号:
    22302187
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    孙潇
  • 依托单位: