Evidence map›Paper›PMID 40061633›Full record

ArticleIn silico pharmacology2025

Evaluation of various bioactive molecules for their gp120-CD4 binding inhibitory properties by in-silico molecular docking and dynamic studies.

Honey Tank, Niketan Deshmukh

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.

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

2 authors.

Honey TankDepartment of Biotechnology, L J School of Applied Sciences, L J University, Ahmedabad, Gujarat 382210 India.
Niketan DeshmukhDepartment of Biotechnology, L J School of Applied Sciences, L J University, Ahmedabad, Gujarat 382210 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquired immunodeficiency syndrome (AIDS), caused by the human immunodeficiency virus (HIV), remains a significant global health challenge, affecting over 38.4 million individuals worldwide according to the World Health Organization (WHO). The high mutation rate of HIV complicates the effectiveness of conventional antiviral drugs, necessitating novel therapeutic approaches. A critical step in HIV infection is the interaction between the viral envelope protein gp120 and CD4+ receptors on host cells, making gp120 an attractive therapeutic target. This study aimed to identify potential inhibitors that disrupt the gp120-CD4 interaction through computational methods. Using an integrated approach combining multiple sequence alignment, phylogenetic analysis, structure prediction, ADME analysis, Molecular docking studies and toxicity profiling identified Epigallocatechin gallate (EGCG) as a promising lead inhibitor of the gp120-CD4 interaction, with a binding affinity of - 6.378 kcal/mol. The stability of the gp120-EGCG complex was validated through 100 ns molecular dynamics simulations and free binding energy calculations, where ΔGBind was calculated to be - 69.7 04 ± 37.940 kJ/mol. EGCG demonstrated favourable drug-like properties with no significant toxicity concerns in our computational analysis. These findings provide a foundation for future in vitro and in vivo studies to develop EGCG-based HIV entry inhibitors.

Indexed as

ADMETgp120HIVMMPBSAMolecular dynamicsPharmacokinetic analysis

Identifiers

PMID40061633
PMCPMC11885758

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.