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用于虚拟筛选的靶向打分函数。

Targeted scoring functions for virtual screening.

出版信息

Drug Discov Today. 2009 Jun;14(11-12):562-9. doi: 10.1016/j.drudis.2009.03.013. Epub 2009 Apr 5.

Abstract

The benefit offered by virtual screening methods during the early drug discovery process is directly related to the predictivity of scoring functions that assess protein-ligand binding affinity. The scoring of protein-ligand complexes, however, is still a challenge: despite great efforts, a universal and accurate scoring method has not been developed up to now. Targeted scoring functions, in contrast, enhance virtual screening performance significantly. This review analyzes recent developments and future directions in the area of targeted scoring functions.

摘要

虚拟筛选方法在药物发现早期提供的益处与评估蛋白-配体结合亲和力的打分函数的预测能力直接相关。然而,蛋白-配体复合物的打分仍然是一个挑战:尽管付出了巨大努力,但至今仍未开发出一种通用且准确的打分方法。相比之下,靶向打分函数显著提高了虚拟筛选的性能。本文分析了靶向打分函数领域的最新进展和未来方向。

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