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Morphological similarity: A 3D molecular similarity method correlated with protein-ligand recognition

机译:形态学相似性:与蛋白质配体识别相关的3D分子相似性方法

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摘要

Recognition of small molecules by proteins depends on three-dimensional molecular surface complementarity. However, the dominant techniques for analyzing the similarity of small molecules are based on two-dimensional chemical structure, with such techniques often outperforming three-dimensional techniques in side-by-side comparisons of correlation to biological activity. This paper introduces a new molecular similarity method, termed morphological similarity (MS), that addresses the apparent paradox. Two sets of molecule pairs are identified from a set of ligands whose protein-bound states are known crystallographically. Pairs that bind the same protein sites form the first set, and pairs that bind different sites form the second. MS is shown to separate the two sets significantly better than a benchmark 2D similarity technique. Further, MS agrees with crystallographic observation of bound ligand states, independent of information about bound states. MS is efficient to compute and can be practically applied to large libraries of compounds. [References: 22]
机译:通过蛋白质识别小分子取决于三维分子表面互补性。然而,用于分析小分子相似性的主导技术基于二维化学结构,这些技术通常优于与生物活性的相关性的相互比较中的三维技术。本文介绍了一种新的分子相似性方法,称为形态相似性(MS),其解决了表观悖论。两组分子对从一组配体鉴定其蛋白质结合状态的结晶态。结合相同蛋白质位点的对形成第一组,并将其结合的对形成第二个组。 MS被示出为与基准2D相似技术显着更好地分离两组。此外,MS同意结合配体状态的结晶观察,与有关限制状态的信息无关。 MS有效地计算,并且可以实际应用于大型化合物文库。 [参考:22]

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