Abstract：
UNASSIGNED: Modern drug discovery revolves around designing ligands that target the chosen biomolecule, typically proteins. For this, the evaluation of affinities of putative ligands is crucial. This has given rise to a multitude of dedicated computational and experimental methods that are constantly being developed and improved.
UNASSIGNED: In this review, the authors reassess both the industry mainstays and the newest trends among the methods for protein - small-molecule affinity determination. They discuss both computational affinity predictions and experimental techniques, describing their basic principles, main limitations, and advantages. Together, this serves as initial guide to the currently most popular and cutting-edge ligand-binding assays employed in rational drug design.
UNASSIGNED: The affinity determination methods continue to develop toward miniaturization, high-throughput, and in-cell application. Moreover, the availability of data analysis tools has been constantly increasing. Nevertheless, cross-verification of data using at least two different techniques and careful result interpretation remain of utmost importance.
UNASSIGNED: In this review, the authors reassess both the industry mainstays and the newest trends among the methods for protein - small-molecule affinity determination. They discuss both computational affinity predictions and experimental techniques, describing their basic principles, main limitations, and advantages. Together, this serves as initial guide to the currently most popular and cutting-edge ligand-binding assays employed in rational drug design.
UNASSIGNED: The affinity determination methods continue to develop toward miniaturization, high-throughput, and in-cell application. Moreover, the availability of data analysis tools has been constantly increasing. Nevertheless, cross-verification of data using at least two different techniques and careful result interpretation remain of utmost importance.
摘要：
■现代药物发现围绕设计靶向所选生物分子的配体，典型的蛋白质。为此，评估推定配体的亲和力是至关重要的。这产生了大量的专用计算和实验方法，这些方法正在不断开发和改进。
■在这篇评论中，作者重新评估了蛋白质-小分子亲和力测定方法的行业支柱和最新趋势。他们讨论了计算亲和力预测和实验技术，描述他们的基本原理，主要限制,和优势。一起,这是目前在合理药物设计中采用的最流行和前沿的配体结合试验的初始指南.
■亲和力测定方法继续向小型化发展，高通量，和细胞内应用。此外，数据分析工具的可用性一直在不断增加。然而，使用至少两种不同的技术对数据进行交叉验证和仔细的结果解释仍然至关重要。
■在这篇评论中，作者重新评估了蛋白质-小分子亲和力测定方法的行业支柱和最新趋势。他们讨论了计算亲和力预测和实验技术，描述他们的基本原理，主要限制,和优势。一起,这是目前在合理药物设计中采用的最流行和前沿的配体结合试验的初始指南.
■亲和力测定方法继续向小型化发展，高通量，和细胞内应用。此外，数据分析工具的可用性一直在不断增加。然而，使用至少两种不同的技术对数据进行交叉验证和仔细的结果解释仍然至关重要。
