An insight from computational approach to explore novel, high-affinity phosphodiesterase 10A inhibitors for neurological disorders

PDE10A型 磷酸二酯酶 分子动力学 对接(动物) 化学 分子力学 罂粟碱 立体化学 计算生物学 计算化学 生物化学 生物 医学 内科学 护理部
作者
Bhanu Sharma,Dhananjay Bhattacherjee,Grigory V. Zyryanov,Rituraj Purohit
出处
期刊:Journal of Biomolecular Structure & Dynamics [Informa]
卷期号:41 (19): 9424-9436 被引量:71
标识
DOI:10.1080/07391102.2022.2141895
摘要

The enzyme Phosphodiesterase 10A (PDE10A) plays a regulatory role in the cAMP/protein kinase A (PKA) signaling pathway by means of hydrolyzing cAMP and cGMP. PDE10A emerges as a relevant pharmacological drug target for neurological conditions such as psychosis, schizophrenia, Parkinson's, Huntington’s disease, and other memory-related disorders. In the current study, we subjected a set of 1,2,3-triazoles to be explored as PDE10A inhibitors using diverse computational approaches, including molecular docking, classical molecular dynamics (MD) simulations, Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations, steered MD, and umbrella sampling simulations. Molecular docking of cocrystallized ligands papaverine and PFJ, along with a set of in-house synthesized molecules, suggested that molecule 3i haded the highest binding affinity, followed by 3h and 3j. Furthermore, the structural stability studies using MD and MM-PBSA indicated that the 3h and 3j formed stable complexes with PDE10A. The binding free energy of −240.642 kJ/mol and −201.406 kJ/mol was observed for 3h and 3j, respectively. However, the cocrystallized ligands papaverine and PFJ exhibited comparitively higher binding free energy values of −202.030 kJ/mol and −138.764 kJ/mol, respectively. Additionally, steered MD and umbrella sampling simulations provided conclusive evidence that the molecules 3h and 3j could be exploited as promising candidates to target PDE10A. Communicated by Ramaswamy H. Sarma
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
為來完成签到,获得积分10
刚刚
刚刚
1秒前
1秒前
小雨快跑完成签到,获得积分20
1秒前
kakak发布了新的文献求助10
2秒前
Owen应助典雅的zz采纳,获得10
2秒前
崔文浩发布了新的文献求助10
2秒前
4秒前
大模型应助清新的灵寒采纳,获得10
5秒前
阿巴阿巴发布了新的文献求助10
5秒前
cai发布了新的文献求助10
5秒前
6秒前
6秒前
FashionBoy应助舒心的花卷采纳,获得10
7秒前
CodeCraft应助wenlin采纳,获得10
7秒前
轩哥哥发布了新的文献求助10
8秒前
8秒前
orixero应助缓慢向日葵采纳,获得10
8秒前
脑洞疼应助Heyley采纳,获得10
9秒前
Iris完成签到,获得积分10
9秒前
9秒前
10秒前
狂野忆文完成签到,获得积分10
10秒前
星星发布了新的文献求助10
11秒前
是人完成签到 ,获得积分10
11秒前
科研通AI6.1应助kunyuli采纳,获得10
12秒前
闲之野鹤发布了新的文献求助10
13秒前
脑洞疼应助科研通管家采纳,获得10
13秒前
小马甲应助科研通管家采纳,获得10
13秒前
Lucas应助科研通管家采纳,获得10
14秒前
Jasper应助科研通管家采纳,获得10
14秒前
所所应助科研通管家采纳,获得10
14秒前
研友_VZG7GZ应助科研通管家采纳,获得10
14秒前
孤行者应助科研通管家采纳,获得20
14秒前
酷波er应助科研通管家采纳,获得10
14秒前
乐空思应助科研通管家采纳,获得20
14秒前
14秒前
CipherSage应助科研通管家采纳,获得10
14秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011376
求助须知:如何正确求助?哪些是违规求助? 7560434
关于积分的说明 16136728
捐赠科研通 5158063
什么是DOI,文献DOI怎么找? 2762650
邀请新用户注册赠送积分活动 1741401
关于科研通互助平台的介绍 1633620