Evidence map›Paper›PMID 40390215›Full record

ArticleCombinatorial chemistry & high throughput screening2025

An Integrated Computational Approach to Identify Potent HIV-1 Protease Inhibitors from Marine Sources.

Mebarka Ouassaf, Lotfi Bourougaa, Harun M Patel, Iqrar Ahmad, Bader Y Alhatlani

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Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mebarka OuassafGroup of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, Biskra 07000, Algeria.ORCID 0000-0002-0292-0949
Lotfi BourougaaGroup of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, Biskra 07000, Algeria.ORCID 0009-0005-4235-6077
Harun M PatelR.C. Patel Institute of Pharmaceutical Education and Research Shirpur, Dhule-425205, Maharashtra, India.ORCID 0000-0003-0920-1266
Iqrar AhmadR.C. Patel Institute of Pharmaceutical Education and Research Shirpur, Dhule-425205, Maharashtra, India.ORCID 0000-0002-7697-9572
Bader Y AlhatlaniUnit of Scientific Research, Applied College, Qassim University, Buraydah 52571, Saudi Arabia.ORCID 0000-0003-0871-6313

Funding

Deanship of Scientific Research, Qassim University, Saudi Arabia QU-APC-2024-9/1
6 · The paper itself

Abstract

introductionThis study aimed to identify marine-derived protease inhibitors with potential applications in immunogenicity-targeted therapies.

methodsStarting with a pharmacophore model based on the GRL-09510 complex (PDB ID: 5v4y), we isolated three critical features (RAA) that facilitated the selection of 192 candidates from an initial pool of 18,547 compounds.

resultsSubsequent docking analyses, validated with a strong ROC value of 0.74, revealed four high-affinity compounds: Echoside C (CMNPD22461), Anguibactin (CMNPD3610), Hansforester K (CMNPD30598), and Polyandocarpamide A (CMNPD4564), with binding scores of -7.773, -7.770, -7.690, and -7.236 kcal/mol, respectively-each exceeding the reference compound's binding efficacy. Further assessments of drug-likeness (ADME) and toxicity profiles produced favorable results and predicted biological activity from the PASS program supported their potential as potent protease inhibitors. Density Functional Theory (DFT) analysis and molecular dynamics simulations confirmed the stability of these compounds when bound to the protease's active site, with configurations similar to the GRL-09510 complex.

conclusionThese findings suggest that the identified marine-derived compounds hold significant promise as effective protease inhibitors, offering new opportunities for immunotherapy and advancements in drug development.

Indexed as

Aquatic OrganismsHIV-1HIV ProteaseHIV Protease InhibitorsHumansMolecular Docking SimulationMolecular StructureStructure-Activity RelationshipHIV ProteaseHIV Protease Inhibitorsp16 protease, Human immunodeficiency virus 1density functional theoryHIV-1 PRmolecular dockingmolecular dynamics.pharmacophore

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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.