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用于设计新型多巴胺D和5-羟色胺5-HT受体双重拮抗剂治疗精神分裂症的计算方法。

Computational approaches for the design of novel dopamine D and serotonin 5-HT receptor dual antagonist towards schizophrenia.

作者信息

Rathore Akash, Asati Vivek, Mishra Mitali, Das Ratnesh, Kashaw Varsha, Kashaw Sushil Kumar

机构信息

Department of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar, Madhya Pradesh 470003 India.

Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Moga, Punjab India.

出版信息

In Silico Pharmacol. 2022 Apr 8;10(1):7. doi: 10.1007/s40203-022-00121-5. eCollection 2022.

DOI:10.1007/s40203-022-00121-5
PMID:35433192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8990614/
Abstract

Piperidine and piperazine derivatives exhibit a diverse range of biological applications, including antipsychotic activity. In this study, a dataset of molecules containing piperidine, piperazine moieties that possess serotonin 5-HT and dopamine D inhibitory activity have been chosen for Pharmacophore modeling, Quantitative Structure-Activity (3D-QSAR) Relationship, Molecular docking, and ADME studies. The pharmacophoric hypothesis was found to be AAHPRRR_1 having seven features as one H-bond acceptor (A), one hydrophobic (H), one positive ion acceptor (P), and three aromatic rings (R), with survival score = 6.465 and AUC = 0.92. Based on the best hypothesis, the ZINC-Data base was virtually screened to find out the lead molecules. 3D-QSAR model, including internal and external validation showed comparative molecular field analysis (CoMFA) against 5HT (  = 0.552,  = 0.889, and poured. = 0.653 and number of component 5) and comparative molecular similarity indices analysis (CoMSIA) (  = 0.599,  = 0.893, and pred. = 0.617), for D (CoMFA,  = 0.577,  = 0.863, and pred. = 0.598) (CoMSIA,  = 0.532,  = 0.82) all results exhibited better productivity and significant statistical reliability of the model. The docking study was carried out on the crystal structure of 5-HT having PDB ID; 6A93 and D receptor having PDB ID; 6CM4. The screened compound ZINC74289318 possess a higher docking score - 10.744 and - 11.388 than co-crystallized ligand docking score - 8.840 and - 10.06 against 5-HT and D receptor respectively. Further, ZINC74289318 was screened for all drug-likeness parameters and no showed violation of the Lipinski rule of five. Also, it was found to possess good bioavailability of 0.55 with synthetic accessibility of 4.42 which is greater than risperidone.

摘要

哌啶和哌嗪衍生物具有多种生物学应用,包括抗精神病活性。在本研究中,选择了一组含有哌啶、哌嗪部分且具有5-羟色胺5-HT和多巴胺D抑制活性的分子数据集,用于药效团建模、定量构效(3D-QSAR)关系、分子对接和ADME研究。发现药效团假设为AAHPRRR_1,具有七个特征,即一个氢键受体(A)、一个疏水性(H)、一个正离子受体(P)和三个芳香环(R),生存分数=6.465,AUC=0.92。基于最佳假设,对ZINC数据库进行虚拟筛选以找出先导分子。3D-QSAR模型,包括内部和外部验证,显示了针对5HT的比较分子场分析(CoMFA)(R2=0.552,Q2=0.889,Q2pred=0.653,成分数5)和比较分子相似性指数分析(CoMSIA)(R2=0.599,Q2=0.893,Q2pred=0.617),对于D(CoMFA,R2=0.577,Q2=0.863,Q2pred=0.598)(CoMSIA,R2=0.532,Q2=0.82),所有结果均显示出该模型具有更好的生产力和显著的统计可靠性。对接研究是针对PDB ID为6A93的5-HT晶体结构和PDB ID为6CM4的D受体进行的。筛选出的化合物ZINC74289318与共结晶配体对接分数相比,针对5-HT和D受体的对接分数分别更高,为-10.744和-11.388,而共结晶配体对接分数分别为-8.840和-10.06。此外,对ZINC74289318进行了所有类药性质参数的筛选,未发现违反Lipinski五规则。还发现它具有良好的生物利用度0.55,合成可及性为4.42,大于利培酮。

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