de Azevedo Walter Filgueira, Dias Raquel
Faculdade de Biociências, Laboratório de Bioquímica Estrutural, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Curr Drug Targets. 2008 Dec;9(12):1031-9. doi: 10.2174/138945008786949405.
Precise computational methods to determine ligand-binding affinity are needed to accelerate the discovery of new drugs. Assessing protein-ligand interaction is of great importance for virtual screening initiatives. The affinity may be computational evaluated using scoring functions involving terms for intermolecular hydrogen bonds, contact surface, hydrophobic contacts, electrostatic interactions and others. Empirical scoring functions have been developed to evaluate ligand-binding affinity very rapidly. In addition to predict affinity, these scoring functions have been employed to identify the best results obtained from docking simulations. This review describes several computational methods, employed to estimate ligand-binding affinity and discuss their development and main applications.
需要精确的计算方法来确定配体结合亲和力,以加速新药的发现。评估蛋白质-配体相互作用对于虚拟筛选计划至关重要。亲和力可以使用涉及分子间氢键、接触表面、疏水接触、静电相互作用等项的评分函数进行计算评估。已经开发了经验评分函数来非常快速地评估配体结合亲和力。除了预测亲和力外,这些评分函数还被用于识别对接模拟获得的最佳结果。本综述描述了几种用于估计配体结合亲和力的计算方法,并讨论了它们的发展和主要应用。