Evidence map›Paper›PMID 42278298›Full record

ArticleInternational journal of molecular sciences2026

Identification of GPI-Anchored Wall Transfer Protein 1 Modulators for Fungal Infections Through Generative AI and Physics-Based Approaches.

Ibrahim A Alsarra, Rupesh Chikhale, Abdullah M Al-Mohizea, Md Ataul Islam

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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

4 authors.

Ibrahim A AlsarraDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-5288-5953
Rupesh ChikhaleDepartment of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0001-5622-3981
Abdullah M Al-MohizeaDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.
Md Ataul IslamSilicoScientia Private Limited, Nagananda Commercial Complex, No. 07/3, 15/1, 18th Main Road, Jayanagar 9th Block, Bengaluru 560041, India.ORCID 0000-0001-6286-6262

Funding

King Saud University ORF-2026-1658
6 · The paper itself

Abstract

Glycosylphosphatidylinositol (GPI) anchored wall transfer protein 1 (GWT1), a fungal-specific inositol acyltransferase, catalyzes the palmitoylation of GlcN-PI in GPI-anchor biosynthesis, crucial for mannoprotein trafficking and attachment, which are vital for cell wall integrity, biofilm formation, and virulence. More than 60,000 AI-generated molecules produced using REINVENT4 were screened using ADMET-AI and GNINA. DeepSA and PharmacoNet were used to select synthesizable and pharmacophorically rich molecules. The dynamic behaviour was explored using molecular dynamics (MD). Finally, molecular reactivity was assessed using density functional theory (DFT). After ADMET filtering, 6190 compounds were docked against GWT1, of which 315 showed better predicted binding energies than the co-crystal ligand. DeepSA identified 105 readily synthesizable candidates, and PharmacoNet retained 32 compounds with favourable pharmacophoric features, from which four final candidates (AF_M1, AF_M2, AF_M3, and AF_M4) were prioritized for further analysis. MD simulation suggested stable binding behavior towards GWT1. DFT analysis indicated favourable electronic properties, low HOMO-LUMO energy gaps, and stable optimized geometries. These molecules could serve as promising lead candidates and potential new therapeutic agents for invasive fungal infections, pending validation.

Indexed as

Antifungal AgentsFungal ProteinsMycosesCell WallGenerative Artificial IntelligenceGlycosylphosphatidylinositolsHumansMolecular Docking SimulationMolecular Dynamics SimulationAntifungal AgentsFungal ProteinsGlycosylphosphatidylinositolsfungal infectionsgenerative artificial intelligenceGPI-anchored wall transfer protein 1machine learningSilicoXplorevirtual screening

Identifiers

PMID42278298
PMCPMC13256922

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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.