Center for Sciences Natural and Human, Federal University of ABC, Santo Andre, Sao Paulo, Brazil.
Center for Mathematics, Computing and Cognition, Federal University of ABC, Santo Andre, Sao Paulo, Brazil.
Curr Top Med Chem. 2020;20(3):209-226. doi: 10.2174/1568026620666191226101543.
A strategy for the treatment of type II diabetes mellitus is the inhibition of the enzyme known as dipeptidyl peptidase-4 (DPP-4).
This study aims to investigate the main interactions between DPP-4 and a set of inhibitors, as well as proposing potential candidates to inhibit this enzyme.
We performed molecular docking studies followed by the construction and validation of CoMFA and CoMSIA models. The information provided from these models was used to aid in the search for new candidates to inhibit DPP-4 and the design of new bioactive ligands from structural modifications in the most active molecule of the studied series.
We were able to propose a set of analogues with biological activity predicted by the CoMFA and CoMSIA models, suggesting that our protocol can be used to guide the design of new DPP-4 inhibitors as drug candidates to treat diabetes.
Once the integration of the techniques mentioned in this article was effective, our strategy can be applied to design possible new DPP-4 inhibitors as candidates to treat diabetes.
治疗 II 型糖尿病的策略是抑制二肽基肽酶-4(DPP-4)这种酶。
本研究旨在探讨 DPP-4 与一组抑制剂的主要相互作用,并提出潜在的抑制剂候选物。
我们进行了分子对接研究,随后构建和验证了 CoMFA 和 CoMSIA 模型。这些模型提供的信息用于辅助寻找新的 DPP-4 抑制剂候选物,并从研究系列中最活跃的分子的结构修饰中设计新的生物活性配体。
我们能够提出一组通过 CoMFA 和 CoMSIA 模型预测具有生物活性的类似物,这表明我们的方案可用于指导新的 DPP-4 抑制剂的设计,作为治疗糖尿病的候选药物。
一旦本文所述技术的整合有效,我们的策略就可以应用于设计可能的新 DPP-4 抑制剂作为治疗糖尿病的候选物。