ArticleIn silico pharmacology2023
Repurposing of clinically proven bioactive compounds for targeted treatment of Alzheimer's disease using molecular docking approach.
Article in In silico pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Advances in Molecular Docking Techniques for Targeting Protein Misfolding in Neurodegenerative Diseases.Current pharmaceutical biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurodegenerative diseases like Alzheimer's have become a growing concern as it is difficult to cure. Tau protein is found to be playing a major role in Alzheimer's disease, and the majority of drugs that are currently on the market are not only prohibitively expensive but also come packaged with side effects that the body cannot tolerate. Repurposing existing compounds is a successful and optimistic strategy that offers reduced risk and increased possibility. We aim to retrieve the existing drugs and analyze them using
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Registered trials
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.