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Statistical mechanics theory of molecular recognition and pharmaceutical design

机译:分子识别与药物设计的统计力学理论

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Molecular recognition (MR) is an essential elementary process allowing biomolecules to perform their function. MR can be defined as a molecular process in which one or several guest molecules are bound with a high probability at a particular site such as a cleft or a cavity, of a host molecule in a particular orientation. It is a thermodynamic process which is characterised by the difference of the free energies between two states of a host-guest system, bound and unbound. The process features an extremely heterogeneous atomic-environment around binding sites, which has turned away challenges by the conventional statistical mechanics of liquids, e.g. a mean field theory. We have been developing a new theory for MR in biomolecular systems, based on the statistical mechanics of liquids, or the 3D-reference interaction site model (RISM)/RISM theory. The theory has demonstrated its amazing capability of predicting the process from the first principle. In this article, we review our recent works on MR concerning protein and deoxyribonucleic acid. Some applications of the method to drug design are also presented.View full textDownload full textKeywordsmolecular recognition, statistical mechanics, RISM, biomolecule, pharmaceutical designRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/0144235X.2011.648755
机译:分子识别(MR)是允许生物分子执行其功能的必要基本过程。 MR可以定义为这样一种分子过程,其中一个或几个客体分子以特定方向高概率地结合在宿主分子的特定部位(例如裂口或空腔)上。这是一个热力学过程,其特征在于主客体系统的两个状态(绑定和未绑定)之间的自由能不同。该方法的特征是在结合位点周围的原子环境非常不均一,从而克服了传统的液体统计机制(例如液体)的挑战。平均场理论。我们已经基于液体的统计力学或3D参考相互作用位点模型(RISM)/ RISM理论,为生物分子系统中的MR开发了一种新理论。该理论已经证明了从第一个原理预测过程的惊人能力。在本文中,我们回顾了有关蛋白质和脱氧核糖核酸的MR最新研究成果。还介绍了该方法在药物设计中的一些应用。查看全文下载全文关键词分子识别,统计力学,RISM,生物分子,药物设计相关var addthis_config = { technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more“,发布:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/0144235X.2011.648755

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