Natural compounds as therapeutic candidates for spinocerebellar ataxia type 1: a computational approach.

In silico pharmacology Pub Date : 2025-03-15 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00308-6
Surbhi Singh, Suchitra Singh, Deepika Joshi, C Mohanty, Royana Singh
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Abstract

Spinocerebellar Ataxia Type 1 (SCA1) is a progressive neurodegenerative disorder caused by the expansion and aggregation of polyglutamine (polyQ) in the Ataxin-1 (ATXN1) protein, leading to severe neuronal dysfunction. Currently, only symptomatic treatments are available, highlighting the requirement for disease-modifying therapies. This study employed a detailed in silico approach to identify potential neuroprotective natural compounds targeting the Ataxin-1 protein implicated in SCA1. The three-dimensional structure of Ataxin-1 was retrieved, validated, and optimized to achieve a stable structural model. Validation using a Ramachandran plot indicated that 77% of the residues were in favored regions, confirming the reliability of the protein structure. Active site residues were identified using CASTp, and receptor grids were generated for molecular docking studies. A library of 50 natural compounds was screened, among which 21 satisfied Lipinski's rule of five. Molecular docking using PyRx and AutoDock 4.2 identified Withanolide A as the top candidate, exhibiting the highest binding affinity (- 10.14 kcal/mol) and forming four hydrogen bonds with key active site residues. The top six ligands were further assessed for ADMET properties, with Withanolide A showing optimal drug-likeness, high gastrointestinal and blood-brain absorption, and non-toxic profiles. Molecular dynamics simulations over 200 ns demonstrated the stability of the Ataxin-1-Withanolide A complex, supported by RMSD, RMSF, RoG, and SASA analyses. PCA revealed reduced conformational flexibility, indicating enhanced structural stability of the ligand-bound complex. Additionally, MM-PBSA analysis confirmed that Van der Waals interactions were the primary stabilizing forces, complemented by electrostatic contributions. This integrated computational approach highlights the therapeutic potential of Withanolide A as a neuroprotective agent for SCA1, providing a base for future experimental validation and drug development.

Graphical abstract:

天然化合物作为脊髓小脑性共济失调1型的治疗候选者:计算方法。
脊髓小脑性共济失调1型(SCA1)是一种进行性神经退行性疾病,由Ataxin-1 (ATXN1)蛋白中聚谷氨酰胺(polyQ)的扩张和聚集引起,导致严重的神经元功能障碍。目前,只有对症治疗,强调了对疾病改善治疗的需求。本研究采用了详细的计算机方法来鉴定潜在的神经保护天然化合物靶向Ataxin-1蛋白涉及SCA1。对Ataxin-1的三维结构进行检索、验证和优化,获得稳定的结构模型。Ramachandran图验证表明,77%的残基位于有利区域,证实了蛋白质结构的可靠性。利用CASTp识别活性位点残基,并生成受体网格用于分子对接研究。筛选了50种天然化合物,其中21种满足Lipinski的五法则。使用PyRx和AutoDock 4.2进行分子对接,发现Withanolide A具有最高的结合亲和力(- 10.14 kcal/mol),并与关键活性位点残基形成4个氢键。对前六种配体的ADMET特性进行了进一步评估,发现Withanolide A具有最佳的药物相似性、高胃肠道和血脑吸收以及无毒特征。超过200 ns的分子动力学模拟证明了Ataxin-1-Withanolide A配合物的稳定性,RMSD、RMSF、RoG和SASA分析也支持这一结果。PCA显示构象柔韧性降低,表明配体结合物的结构稳定性增强。此外,MM-PBSA分析证实,范德华相互作用是主要的稳定力,静电也起辅助作用。这种综合计算方法突出了Withanolide A作为SCA1神经保护剂的治疗潜力,为未来的实验验证和药物开发提供了基础。图形化的简介:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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