Institut für Pharmazeutische Chemie, Philipps-Universität Marburg, Hans-Meerwein-Strasse 3, 35032 Marburg (Germany).
Angew Chem Int Ed Engl. 2015 Feb 23;54(9):2849-53. doi: 10.1002/anie.201411206. Epub 2015 Jan 28.
Successful lead optimization in structure-based drug discovery depends on the correct deduction and interpretation of the underlying structure-activity relationships (SAR) to facilitate efficient decision-making on the next candidates to be synthesized. Consequently, the question arises, how frequently a binding mode (re)-validation is required, to ensure not to be misled by invalid assumptions on the binding geometry. We present an example in which minor chemical modifications within one inhibitor series lead to surprisingly different binding modes. X-ray structure determination of eight inhibitors derived from one core scaffold resulted in four different binding modes in the aspartic protease endothiapepsin, a well-established surrogate for e.g. renin and β-secretase. In addition, we suggest an empirical metrics that might serve as an indicator during lead optimization to qualify compounds as candidates for structural revalidation.
基于结构的药物发现中的先导优化的成功取决于对基础结构-活性关系(SAR)的正确推断和解释,以促进对下一个候选药物的高效决策。因此,问题来了,为了确保不被关于结合几何形状的无效假设误导,需要多长时间重新验证结合模式。我们提出了一个例子,其中一个抑制剂系列中的微小化学修饰导致了令人惊讶的不同结合模式。从一个核心支架衍生的八种抑制剂的 X 射线结构测定结果在天冬氨酸蛋白酶内切酶 endothiapepsin 中产生了四种不同的结合模式,内切酶是例如肾素和β-分泌酶的良好替代物。此外,我们建议了一种经验性指标,它可以作为先导优化过程中的一个指标,以确定化合物是否适合进行结构再验证。