Evidence map›Paper›PMID 42707193›Full record

ArticleFrontiers in bioinformatics2026

Mukul Shyam, M D Wafi Ismail, Deepak Sharma, Prathap Srirangan, Rajiniraja Muniyan, Sabina Evan Prince

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mukul ShyamSchool of Bio Sciences and Technology, VIT University, Vellore, India.
M D Wafi IsmailSchool of Bio Sciences and Technology, VIT University, Vellore, India.
Deepak SharmaSchool of Bio Sciences and Technology, VIT University, Vellore, India.
Prathap SriranganSchool of Bio Sciences and Technology, VIT University, Vellore, India.
Rajiniraja MuniyanSchool of Bio Sciences and Technology, VIT University, Vellore, India.
Sabina Evan PrinceSchool of Bio Sciences and Technology, VIT University, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Huntington's disease is prevalent globally, with approximately 4.88 cases per 100,000 people, based on a systematic review and meta-analysis of 33 studies published between 2010 and 2022. Despite its significant prevalence, no proper treatment is available that directly addresses Huntington's disease. The existing treatments focus on symptom management, such as controlling chorea and psychiatric symptoms. The drugs used for this purpose may also cause side effects, including depression and Parkinson's disease. Methods: An integrated experimental and computational approach was employed, involving cold maceration extraction of Results: Among the LC-MS/MS identified compounds, eight compounds satisfied the ADMET criteria. Valdiate (PubChem CID: 129715809) demonstrated favourable multi-target binding with docking score of -7.3 kcal/mol against HDAC4 and -8.9 kcal/mol against HDAC7. Molecular dynamics simulations confirmed stable protein-ligand interactions, while MMPBSA analysis yielded binding free energies of -23.22 ± 2.45 kcal/mol (HDAC4) and -28.27 ± 2.28 kcal/mol (HDAC7), identifying Valdiate as the most promising potential inhibitor. Conclusion: Valdiate may serve as a potential inhibitor of mutant huntingtin-associated pathological pathways, pending further

Indexed as

Huntington’s diseasein-silicoPDE10A2phytochemicalSIRT 1

Identifiers

PMID42707193
PMCPMC13547276

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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 OpenQuestion graph.