Evidence map›Paper›PMID 40360594›Full record

ArticleScientific reports2025

Analysis of raltegravir analogs to enhance inhibitory efficiency against HIV integrase.

Hanieh Sabaghian, Mehdi Yoosefian

Abstract read
In one paragraph

Article in Scientific reports, 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.

Hanieh SabaghianDepartment of Chemistry, Graduate University of Advanced Technology, Kerman, Iran.
Mehdi YoosefianDepartment of Chemistry, Graduate University of Advanced Technology, Kerman, Iran. myoosefian7@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article addresses the improvement of the efficacy of anti-integrase enzyme drugs for the AIDS virus, especially using the drug Raltegravir and its 21 analogs. In this research, Hartree-Fock and Density Functional Theory methods have been employed for the design and optimization of new drug candidates. These methods are used to enhance the accuracy and reactivity of the drugs. Additionally, docking is used to investigate the interactions between the drug and the target and evaluate binding energies. Molecular dynamics simulation is utilized to validate binding results. Computational results indicate that the designed analogs exhibit higher reactivity. In molecular docking calculations, RAL5 and RAL21 show the best binding energies of -10.10 and - 10.92 kcal/mol, respectively, indicating their superior efficiency. The analysis of inhibitor potentials against the HIV-1 integrase enzyme through molecular dynamics simulation reveals that RAL5 has strong inhibitory potential for treating viral diseases. These findings contribute to the promotion of therapeutic intervention methods in this field.

Indexed as

HIV-1HIV IntegraseHIV Integrase InhibitorsRaltegravir PotassiumHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingHIV IntegraseHIV Integrase Inhibitorsp31 integrase protein, Human immunodeficiency virus 1Raltegravir PotassiumDrug designHIV-1 integraseRaltegravirViral disease treatment

Identifiers

PMID40360594
PMCPMC12075693

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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.