药物发现
范围(计算机科学)
计算机科学
鉴定(生物学)
分类
计算生物学
数据科学
生化工程
化学
数据挖掘
组合化学
人工智能
工程类
生物
生物化学
植物
程序设计语言
作者
Alvar D. Gossert,Wolfgang Jahnke
标识
DOI:10.1016/j.pnmrs.2016.09.001
摘要
Protein-ligand interactions are at the heart of drug discovery research. NMR spectroscopy is an excellent technology to identify and validate protein-ligand interactions. A plethora of NMR methods are available which are powerful, robust and information-rich, but also have pitfalls and limitations. In this review, we will focus on how to choose between different experiments, and assess their strengths and liabilities. We introduce the concept of the validation cross, which helps to categorize experiments according to their information content and to simplify the choice of the right experiment in order to address a specific question. Additionally, we will provide the framework for drawing correct conclusions from experimental results in order to accurately evaluate such interactions. Out of scope for this review are methods for subsequent characterization of the interaction such as quantitative KD determination, binding mode analysis, or structure determination.
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