Evidence map›Paper›PMID 40098751›Full record

ArticleIn silico pharmacology2025

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

Surbhi Singh, Suchitra Singh, Deepika Joshi, C Mohanty, Royana Singh

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Surbhi SinghDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.
Suchitra SinghDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.
Deepika JoshiDepartment of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.
C MohantyDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.
Royana SinghDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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:

Indexed as

ADMETATXN1 protein (ataxin 1 protein)DockingFELMMPBSAMolecular dynamicPolyQ (polyglutamine protein)SCA1 (spinocerebellar ataxia 1)VMD

Identifiers

PMID40098751
PMCPMC11910456

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.