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EMBM - A new enzyme mechanism-based method for rational design of chemical sites of covalent inhibitors

机译:EMBM-一种基于酶机制的新方法,用于合理设计共价抑制剂的化学位点

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摘要

We introduce an enzyme mechanism-based method (EMBM) aimed at rational design of chemical sites (CS) of reaction coordinate analog inhibitors. The energy of valence reorganization of CS, caused by the formation of the enzyme-inhibitor covalent complex, is accounted for by new covalent descriptors W1 and W2. We considered CS fragments with a carbonyl reactivity center, like in native protease substrates. The W1 and W2 descriptors are calculated quantum mechanically on small molecular clusters simulating the reaction core of the formed covalent tetrahedral complex, anionic TC(O-) or neutral TC(OH). The modeling on a reaction core allows generation of various CS and corresponding TC(O-) and TC(OH) as universal building blocks of real inhibitors and their covalent complexes with serine or cysteine hydrolases. Moreover, the approach avoids the need for 3D structure of the target enzyme, so EMBM may be used for ligand-based design. We have built a chemical site of inhibitors (CSI) databank with pairs of W1 and W2 descriptors precalculated for both CHO(-) and CHS(-) nucleophiles for every collected CS fragment. We demonstrated that contribution of a CS fragment to the binding affinity of an inhibitor depends on both its covalent reorganization during the chemical transformation and its noncovalent interactions in the enzyme active site. Consequently, prediction of inhibitors binding trend can be done only by accounting for all of these factors, using W1 and W2 in combination with noncovalent QSAR descriptors.
机译:我们介绍了一种基于酶机理的方法(EMBM),旨在合理设计反应坐标类似物抑制剂的化学位点(CS)。由酶-抑制剂共价复合物形成引起的CS价重组能量由新的共价描述符W1和W2解释。我们考虑了具有羰基反应中心的CS片段,就像在天然蛋白酶底物中一样。 W1和W2描述符是在小分子簇上以机械方式量子计算的,模拟形成的共价四面体络合物,阴离子TC(O-)或中性TC(OH)的反应核。反应核心上的建模允许生成各种CS和相应的TC(O-)和TC(OH),作为真正的抑制剂及其与丝氨酸或半胱氨酸水解酶的共价复合物的通用结构单元。而且,该方法避免了目标酶的3D结构需求,因此EMBM可用于基于配体的设计。我们已经建立了抑制剂(CSI)数据库的化学位点,并针对每个收集到的CS片段预先计算了CHO(-)和CHS(-)亲核试剂的W1和W2描述符对。我们证明了CS片段对抑制剂结合亲和力的贡献既取决于其在化学转化过程中的共价重组,也取决于其在酶活性位点的非共价相互作用。因此,只有将W1和W2与非共价QSAR描述子结合使用,才能通过考虑所有这些因素来预测抑制剂的结合趋势。

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