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Computational Studies of Competitive Inhibitors of Nitric Oxide Synthase (NOS) Enzymes: Towards the Development of Powerful and Isoform-Selective Inhibitors

机译:一氧化氮合酶(NOS)酶竞争性抑制剂的计算研究:向强大和同工型选择性抑制剂的发展。

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Crystallographic structures of wild-type and mutant NOS isoforms complexed with substrate, intermediate, inhibitor, cofactor, and cofactor analogs are currently available. However, because of the high level of amino-acid conservation and the consequent similarity in dimeric quaternary structure as well as in the active site of NOS isoforms, structure-based isoform-selective inhibitor design is still a very challenging task. Nevertheless, the comprehension of the structural determinants for selectivity among the isoforms is fundamental for the design of further potent and more selective inhibitors.nnComputational techniques, based on the knowledge of the tridimensional structure of the isozymes, have been already applied to understand the significant isoform selectivity shown by some compounds. Collectively these structure-based approaches, in combination with SAR studies, have been able to explain the structural reasons of this selectivity.
机译:目前可获得与底物,中间体,抑制剂,辅因子和辅因子类似物复合的野生型和突变型NOS同工型的晶体学结构。但是,由于氨基酸的高水平保守性以及随之而来的二聚体四级结构以及NOS亚型的活性位点的相似性,基于结构的亚型选择性抑制剂的设计仍然是一项艰巨的任务。然而,了解同工型间选择性的结构决定因素是设计其他更有效和更具选择性的抑制剂的基础。基于同工酶的三维结构的知识,计算技术已被用于理解重要的同工型。一些化合物显示出选择性。这些基于结构的方法与SAR研究相结合,已经能够解释这种选择性的结构原因。

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