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确定生物还原药物的靶点:利用GRID预测蛋白质的选择性结合区域。

Identifying targets for bioreductive agents: using GRID to predict selective binding regions of proteins.

作者信息

Reynolds C A, Wade R C, Goodford P J

机构信息

Physical Chemistry Laboratory, Oxford, UK.

出版信息

J Mol Graph. 1989 Jun;7(2):103-8, 100. doi: 10.1016/s0263-7855(89)80013-x.

Abstract

A computational procedure is described for investigating potential binding sites of a target macromolecule for their ability to bind both a reduced probe molecule and an oxidized probe molecule. The interaction energies are obtained using a molecular mechanics method and can be displayed as three-dimensional (3D) energy contours, indicating regions of the target molecule that may have favorable interactions with the probe molecule. Differences in the interaction energies of the oxidized and reduced probe with the target can also be plotted as contours, indicating regions that are selective for the reduced probe. These selectivity contours can be used to show whether the macromolecule is a potential target for bioreductive agents. The method has been applied to the chicken liver dihydrofolate reductase enzyme and has indicated new binding regions that may be suitable binding sites for bioreductive agents.

摘要

描述了一种计算程序,用于研究目标大分子的潜在结合位点与还原探针分子和氧化探针分子结合的能力。使用分子力学方法获得相互作用能,并可将其显示为三维(3D)能量等值线,指示目标分子中可能与探针分子有良好相互作用的区域。氧化探针和还原探针与目标的相互作用能差异也可绘制成等值线,指示对还原探针具有选择性的区域。这些选择性等值线可用于表明该大分子是否是生物还原剂的潜在靶点。该方法已应用于鸡肝二氢叶酸还原酶,表明了可能是生物还原剂合适结合位点的新结合区域。

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