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Rigorous Incorporation of Tautomers Ionization Species and Different Binding Modes into Ligand-Based and Receptor-Based 3D-QSAR Methods

机译:严格掺入互变异构体电离物种和不同结合模式进入基于配体和基于受体的3D QSAR方法

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摘要

Speciation of drug candidates and receptors caused by ionization, tautomerism, and/or covalent hydration complicates ligand- and receptor-based predictions of binding affinities by 3-dimensional structure-activity relationships (3D-QSAR). The speciation problem is exacerbated by tendency of tautomers to bind in multiple conformations or orientations (modes) in the same binding site. New forms of the 3D-QSAR correlation equations, capable of capturing this complexity, can be developed using the time hierarchy of all steps that lie behind the monitored biological process – binding, enzyme inhibition or receptor activity. In most cases, reversible interconversions of individual ligand and receptor species can be treated as quickly established equilibria because they are finished in a small fraction of the exposure time that is used to determine biological effects. The speciation equilibria are satisfactorily approximated by invariant fractions of individual ligand and receptor species for buffered experimental or in vivo conditions. For such situations, the observed drug-receptor association constant of a ligand is expressed as the sum of products, for each ligand and receptor species pair, of the association microconstant and the fractions of involved species. For multiple binding modes, each microconstant is expressed as the sum of microconstants of individual modes. This master equation leads to new 3D-QSAR correlation equations integrating the results of all molecular simulations or calculations, which are run for each ligand-receptor species pair separately. The multispecies, multimode 3D-QSAR approach is illustrated by a ligand-based correlation of transthyretin binding of thyroxine analogs and by a receptor-based correlation of inhibition of MK2 by benzothiophenes and pyrrolopyrimidines.
机译:由离子化,互变异构和/或共价水合作用引起的候选药物和受体物种形成,通过3维结构-活性关系(3D-QSAR)使基于配体和受体的结合亲和力预测复杂化。互变异构体倾向于在同一结合位点以多种构象或方向(模式)结合的趋势加剧了物种形成问题。可以利用受监控的生物过程背后所有步骤的时间层次(结合,酶抑制或受体活性)来开发能够捕获这种复杂性的新形式的3D-QSAR相关方程式。在大多数情况下,单个配体和受体物种的可逆相互转化可以视为快速建立的平衡,因为它们可以在用于确定生物学效应的一小部分暴露时间内完成。对于缓冲的实验或体内条件,通过各个配体和受体种类的不变分数令人满意地近似了形态平衡。在这种情况下,观察到的配体的药物-受体缔合常数表示为缔合微常数和所涉及物种的分数的每个配体和受体物种对的乘积之和。对于多种结合模式,每个微常数表示为各个模式的微常数之和。这个主方程导致新的3D-QSAR相关方程集成了所有分子模拟或计算的结果,分别对每个配体-受体物种对运行。通过甲状腺素类似物的运甲状腺素蛋白结合的基于配体的相关性和苯并噻吩和吡咯并嘧啶对MK2抑制的基于受体的相关性说明了多物种,多模式3D-QSAR方法。

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