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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Lewy body dementia

Topic: Brain proteins, microglia and lab models

Vascular dementia is the second most common form of dementia. It is characterized by reduced blood flow in the cerebral cortex due to neurodegeneration and neuroinflammation. Almost 10 crore people will be suffering from it by 2030. Still, there are no therapeutics reported for the treatment of neurocognitive vascular dementia. Hence, we have explored an epigenetic pathway for the targeted inhibition of histone deacetylase 3 (HDAC3) that can further cure the neurocognitive impairment. In the present study, we have incorporated in silico methodologies for small-molecule inhibitor screening. The methodologies include multi-model pharmacophore development, validation, virtual screening by HDAC3 targeted docking and dynamics simulation, quantum chemical analysis, and ADMET properties. After the virtual screening, the best two compounds were selected according to the docking score, MM/GBSA scoring, and IFD. The top two hits—57402 and 46381 represented interactions with zinc-binding and amino acids such as HIE172 and HIE135 GLY143, and ASP93 residues compared with RGFP966. Furthermore, the density function theory study was employed to understand the reactivity and stability of the compounds, and quantum chemical properties relevant to drug design were compared with standard RGFP966. Following the molecular dynamics simulation and ADMET analysis, which evaluates how a substance is absorbed, distributed, metabolized, and excreted, along with its toxicity, the two hit compounds—57402 and 46381 showed superior binding scores and targeted inhibition of HDAC3 by zinc chelation. Therefore, the study is of great significance in the quest for new molecules for the treatment of vascular dementia targeting HDAC3.

Key findings

Why it matters

This is a computer-based (in silico) study that screened small molecules for inhibiting HDAC3 as a possible approach to vascular dementia, selecting two top compounds based on docking and simulation. It is early computational work and no compound has been tested in patients, so it does not yet show any treatment, cure or prevention.

Study details

How this study scored 41/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record left out, no data; Institution's track record 0 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. 39 of the 96 points it could be judged on, which is 41 of 100. Total 41 of 100.39 of the 96 points we could judge = 41 of 100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 39 of the 96 points we could judge it on, which is 41 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Scientific Reports)
Journal's citation record 3 / 4 Scientific Reports: journal h-index 463 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 11 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.7 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 5.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 1 / 4 Cited 11 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record 0 / 3 Jadavpur University: institution h-index 329 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 4 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 41326481)
Free to read 2 / 2 Free to read
Points 39 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 39 of the 96 points we could judge it on is 41 out of 100.
Total 41 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Halder, D., Banerjee, S., Biswas, S., Adhikari, N., & Ghosh, B. (2025). Molecular modeling to simulation: insights into Gaussian QSAR, molecular docking, and DFT for identification of HDAC3 inhibitors for neurocognitive vascular dementia. Scientific Reports. https://doi.org/10.1038/s41598-025-28304-y

Vancouver

Halder D, Banerjee S, Biswas S, Adhikari N, Ghosh B. Molecular modeling to simulation: insights into Gaussian QSAR, molecular docking, and DFT for identification of HDAC3 inhibitors for neurocognitive vascular dementia. Scientific Reports. 2025. doi:10.1038/s41598-025-28304-y. PMID: 41326481.

BibTeX

@article{halder2025-41326481,
  author  = {Halder, Debojyoti and Banerjee, Suvankar and Biswas, Swati and Adhikari, Nilanjan and Ghosh, Balaram},
  title   = {{Molecular modeling to simulation: insights into Gaussian QSAR, molecular docking, and DFT for identification of HDAC3 inhibitors for neurocognitive vascular dementia}},
  journal = {Scientific Reports},
  year    = {2025},
  doi     = {10.1038/s41598-025-28304-y},
  pmid    = {41326481},
  url     = {https://doi.org/10.1038/s41598-025-28304-y}
}

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