DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELD
DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELD
批准号:
8483426
负责人:
JAY PONDER
金额:
$29.42万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-01 至 2017-03-31
关键词:
AccountingAminoglycoside AntibioticsAntibioticsAttentionBase PairingBeet Western Yellows VirusBindingBinding SitesBiochemistryBiologicalBiological ProcessBiopolymersChargeComputational algorithmComputer AssistedComputer SimulationComputer softwareComputing MethodologiesDNADNA Sequence AnalysisDataDevelopmentDrug DesignElectrostaticsEngineeringFutureGasesGeneticHeartHumanInvestigationIonsKanamycinLeadLibrariesLigandsMechanicsMedicalMetalsMethodsModelingMolecular BiologyMolecular ConformationMolecular ModelsNeomycinNucleic AcidsOutcomePenetrationPharmaceutical PreparationsPhasePhysiologyPotential EnergyPropertyProteinsRNARNA BindingResearchRibosomesScientistSeriesSmall RNASpecificityStructural BiochemistryStructureSystemTheoretical StudiesTherapeutic AgentsThermodynamicsTorsionVertebral columnWaterZ-Form DNAZinc Fingersbasecomputer studiesdesignelectron densityelectronic structureimprovedinorganic phosphateinsightmacromoleculemodels and simulationmolecular mechanicsmolecular modelingneglectnext generationnovelnovel therapeuticsnucleic acid structurephysical modelpublic health relevancequantumresearch studysimulationsmall moleculestructural biologysugartranscription factorviral RNA
中文摘要
描述(由申请人提供):生物分子建模和模拟是理解分子生物学和结构生物化学的物理启发方法的核心。在过去的几年里,经验力场已经接近一代人的转变,从完善的,良好调整的,但本质上有限的定点电荷模型转向更复杂和准确的极化电位。本研究提出将可极化AMOEBA(原子多极优化能量学生物分子应用)力场扩展到核酸系统。与当前AMOEBA蛋白参数化一起,这将为两个主要的生物聚合物类提供一致的衍生模型。所需的静电参数的核酸将来自高层次的量子力学电子结构计算。为了将AMOEBA用于DNA和RNA系统,将需要几个新的能量函数来处理目前被忽视的效应,例如电荷转移、电子密度的穿透和在短距离范围内的分散的阻尼。由此产生的下一代AMOEBA力场有望显着提高短程相互作用的准确性,而不是目前可用的其他力场。核酸及其与离子、小分子和蛋白质的相互作用是人类生物化学、生理学和遗传学的基础。这项研究将校准AMOEBA核酸的潜力对一系列的结构基序,对药物-RNA结合数据,并与离子的相互作用。经过验证的力场将为转录因子与DNA相互作用的建模、氨基糖苷类抗生素与核糖体的详细结合计算以及目前用可极化力场无法解决的类似问题开辟未来的机会。
英文摘要
DESCRIPTION (provided by applicant): Biomolecular modeling and simulation lies at the heart of physically inspired methods for understanding molecular biology and structural biochemistry. Empirical force fields have been approaching a generational transition over the past several years, moving away from well- established, well-tuned but intrinsically limited fixed point charge models towards more intricate and accurate polarizable potentials. This research proposes to extend the polarizable AMOEBA (Atomic Multipole Optimized Energetics for Biomolecular Applications) force field to nucleic acid systems. Together with the current AMOEBA protein parameterization, this will provide a consistently derived model for the two major biopolymer classes. The required electrostatic parameter for nucleic acids will be derived from high-level quantum mechanical electronic structure calculations. In order to use AMOEBA for DNA and RNA systems, several new energy functions will be needed to treat currently neglected effects, such as charge transfer, penetration of electron densities, and damping of dispersion at short distance ranges. The resulting next-generation of the AMOEBA force field promises to significantly improve the accuracy of short-range interactions over other currently available force fields. Nucleic acids, and their interaction with ions, small molecules and proteins, underlie much of human biochemistry, physiology and genetics. This research will calibrate the AMOEBA nucleic acid potentials on a series of structural motifs, against drug-RNA binding data, and with respect to interactions with ions. The validated force field will then open future opportunities for modeling of transcription factor interactions with DNA, detailed binding calculations for aminoglycoside antibiotics with the ribosome, and similar problems not approachable at present with polarizable force fields.
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会议论文
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