Evidence map›Paper›PMID 39931696›Full record

ArticleIn silico pharmacology2025

Computer aided design of inhibitor molecules against Vpr protein from different HIV-1 subtypes.

Joyeeta Datta, Satyabrata Majumder, Kalyan Giri

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Joyeeta DattaDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073 India.
Satyabrata MajumderDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073 India.
Kalyan GiriDepartment of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 is a retrovirus that affects the human immune system and consequently leads to the development of AIDS. The high mutation rate in HIV-1 produces different subtypes which underscores the development of new therapeutics against it. This study aims to develop a novel small molecule that can be used as a potential inhibitor against the Vpr protein of all the subtypes of HIV-1. The druggable pockets of the Vpr protein of each subtype were identified and the conformational stability of these pockets was studied. The structure-based Drug Design method was used to design small molecules against the high-scoring pocket from each subtype individually using AutoGrow4 software. Molecules with strong binding affinity were selected from each subtype individually and binding affinity was checked for all the subtypes. Considering druggability and ADMET properties, we have identified two novel molecules that act as potential Vpr protein inhibitors. Both the molecules were shown to form stable complexes with the Vpr proteins of all the subtypes. The biological activity of both molecules was examined using DFT calculation. This study may provide some insight into developing of new therapies in HIV-1 treatment by interrupting protein-protein interaction. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00318-4.

Indexed as

Binding energy calculationDrug designingDruggable pocketHIV-1 subtypesVpr protein

Identifiers

PMID39931696
PMCPMC11807045

What OpenQuestion 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 OpenQuestion graph.