Chhabra Nikita, Matore Balaji Wamanrao, Lakra Nisha, Banjare Purusottam, Murmu Anjali, Bhattacharya Arijit, Gayen Shovanlal, Singh Jagadish, Roy Partha Pratim
Laboratory of Drug Discovery and Ecotoxicology, Department of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, 495009 India.
Laboratory of Drug Design and Discovery, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032 India.
In Silico Pharmacol. 2025 Jan 21;13(1):16. doi: 10.1007/s40203-024-00302-4. eCollection 2025.
Alzheimer's disease (AD) and Parkinson's disease (PD) are neurological conditions that primarily impact the elderly having distinctive traits and some similarities in terms of symptoms and progression. The multifactorial nature of AD and PD encourages exploring potentiality of multi-target therapy for addressing these conditions to conventional, the "one drug one target" strategy. This study highlights the searching of potential HDAC4 inhibitors through multiple screening approaches. In this context, structure-based pharmacophore model, ligand profiler mapping and MCDM approaches were performed for target prioritization. Similarly, ligand profiler, MCDM and Docking studies were performed to prioritize multi-targeted HDAC4 inhibitors. These comprehensive approaches unveiled 5 common targets and 5 multi-targeted prioritized compounds consensually. MD simulations, DFT and binding free energy calculations corroborated the stability and robustness of propitious compound 774 across 5 prioritized targets. In conclusion, the screened compound 774 (ChEMBL 4063938) could be a promising multi-targeted therapy for managing AD and PD further rendering experimental validation.
The online version contains supplementary material available at 10.1007/s40203-024-00302-4.
阿尔茨海默病(AD)和帕金森病(PD)是主要影响老年人的神经疾病,在症状和进展方面具有独特特征且存在一些相似之处。AD和PD的多因素性质促使人们探索多靶点治疗相对于传统“一药一靶”策略来应对这些疾病的潜力。本研究重点通过多种筛选方法寻找潜在的组蛋白去乙酰化酶4(HDAC4)抑制剂。在此背景下,进行了基于结构的药效团模型、配体谱图绘制和多标准决策方法(MCDM)以确定靶点优先级。同样,进行了配体谱图、MCDM和对接研究以确定多靶点HDAC4抑制剂的优先级。这些综合方法一致揭示了5个共同靶点和5种多靶点优先化合物。分子动力学(MD)模拟、密度泛函理论(DFT)和结合自由能计算证实了有利化合物774在5个优先靶点上的稳定性和稳健性。总之,筛选出的化合物774(ChEMBL 4063938)可能是一种有前景的用于治疗AD和PD的多靶点疗法,有待进一步实验验证。
在线版本包含可在10.1007/s40203-024-00302-4获取的补充材料。