College of Chemistry and Pharmaceutical Engineering, Huanghuai University, Zhumadian 463000, China.
Phys Chem Chem Phys. 2023 Mar 22;25(12):8341-8354. doi: 10.1039/d2cp05676c.
Depression severely impairs the health of people all over the world. Cognitive dysfunction due to depression has resulted in a severe economic burden to family and society induced by the reduction of social functioning of patients. Norepinephrine-dopamine reuptake inhibitors (NDRIs) targeted with the human norepinephrine transporter (hNET) and distributed with the human dopamine transporter (hDAT) simultaneously treat depression and improve cognitive function, and they effectively prevent sexual dysfunction and other side effects. Because many patients continue to poorly respond to NDRIs, it is urgent to discover novel NDRI antidepressants that do not interfere with cognitive function. The aim of this work was to selectively identify novel NDRI candidates acting against hNET and hDAT from large compound libraries by a comprehensive strategy integrating support vector machine (SVM) models, ADMET, molecular docking, binding assays, molecular dynamics simulation, and binding energy calculation. First, 6522 compounds that do not inhibit the human serotonin transporter (hSERT) were obtained by SVM models of hNET, hDAT, and non-target hSERT with similarity analyses from compound libraries. ADMET and molecular docking were then used to identify compounds that could potently bind to the hNET and hDAT with satisfactory ADMET, and 4 compounds were successfully identified. According to their docking scores and ADMET information, 3719810 was advanced for profiling by assays as a novel NDRI lead compound due to its strongest druggability and balancing activities. Encouragingly, 3719810 performed comparative activities on two targets, with Ki values of 7.32 μM for hNET and 5.23 μM for hDAT. To obtain candidates with additional activities and balance the activities of 2 targets, 5 analogs were optimized, and 2 novel scaffold compounds were successively designed. By assessment of molecular docking, molecular dynamics simulations, and binding energy calculations, 5 compounds were validated as NDRI candidates with high activities, and 4 of them performed acceptable balancing activities acting on hNET and hDAT. This work supplied promising novel NDRIs for treatment of depression with cognitive dysfunction or other related neurodegenerative disorders, and also provided a strategy for highly efficient and cost-effective identification of inhibitors for dual targets with homologous non-targets.
抑郁症严重损害了全世界人民的健康。由于患者社会功能下降,导致抑郁引起的认知功能障碍给家庭和社会带来了严重的经济负担。同时靶向人去甲肾上腺素转运体(hNET)和人多巴胺转运体(hDAT)的去甲肾上腺素-多巴胺再摄取抑制剂(NDRIs)可治疗抑郁症并改善认知功能,同时能有效预防性功能障碍等副作用。由于许多患者对 NDRIs 的反应仍然不佳,因此迫切需要发现不干扰认知功能的新型 NDRI 抗抑郁药。本工作旨在通过整合支持向量机(SVM)模型、ADMET、分子对接、结合实验、分子动力学模拟和结合能计算的综合策略,从大型化合物库中选择性鉴定出新型针对 hNET 和 hDAT 的 NDRI 候选物。首先,通过 hNET、hDAT 和非靶标 hSERT 的 SVM 模型以及化合物库的相似性分析,获得了 6522 种不抑制人血清素转运体(hSERT)的化合物。然后,使用 ADMET 和分子对接来鉴定能够与 hNET 和 hDAT 强力结合且具有良好 ADMET 的化合物,并成功鉴定出 4 种化合物。根据其对接评分和 ADMET 信息,由于其最强的成药性和平衡活性,3719810 被推进进行进一步分析。令人鼓舞的是,3719810 在两个靶点上表现出相似的活性,Ki 值分别为 7.32 μM 用于 hNET 和 5.23 μM 用于 hDAT。为了获得具有额外活性的候选物并平衡 2 个靶点的活性,优化了 5 个类似物,并成功设计了 2 个新的骨架化合物。通过分子对接、分子动力学模拟和结合能计算的评估,验证了 5 种化合物为具有高活性的 NDRI 候选物,其中 4 种化合物对 hNET 和 hDAT 的平衡活性也可接受。这项工作为治疗伴有认知功能障碍或其他相关神经退行性疾病的抑郁症提供了有前景的新型 NDRIs,同时也为高效、经济有效地鉴定具有同源非靶标的双重靶标抑制剂提供了一种策略。