Evidence map›Paper›PMID 41857129›Full record

ArticleScientific reports2026

Virtual screening and molecular dynamics simulations for drug repurposing against autophagy to attenuate blast in cereal plants.

Shamo Rahman, Ahesanur Rahman, Yu-Ming M Huang, Md Lokman Hossen

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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.

Shamo Rahman *Department of Physics, University of Barishal, Barishal, 8254, Bangladesh.
Ahesanur Rahman *Department of Physics, University of Barishal, Barishal, 8254, Bangladesh.
Yu-Ming M HuangDepartment of Physics, Wayne State University, Detroit, 48201, USA.
Md Lokman HossenDepartment of Physics, University of Barishal, Barishal, 8254, Bangladesh. mlhossen@bu.ac.bd.

Funding

UNESCO-TWAS and the Swedish International Development and Cooperation Agency, (Sida) 24-294 RG/PHYS/AS_I
6 · The paper itself

Abstract

Blast disease is a severe fungal infection that primarily impacts cereal crops caused by pathogenic fungus. e.g., Magnaporthe oryzae (M. oryzae) that uses autophagy for its pathogenecity. Experimental studies show the importance of autophagy for programmed cell death of filamentous fungi and the inhibition process of Atg4-mediated Atg8 cleaving by obtaining potential drug molecules to inhibit autophagy process in blast causing fungus. However, the molecular level details of the drug-Atg4 complex remains elusive. In this study, we use virtual screening and Molecular Dynamics (MD) simulations to repurpose drugs which are able to kill the fungus by targeting the Atg4-mediated cleaving of Atg8 in M. oryzae. Of the 3800 FDA-approved drugs, we identify six promising candidates- 31 h-Phthalocyanine, rebastinib, flumatinib, zafirlukast, beigene-283, and radotinib. A total of 18 µs all-atom MD simulations is conducted to further identify the stability of these molecules and their complexes with Atg4 with the help of RMSD, RMSF, Rg, and binding energy. The compound stability is further validated with the number of hydrogen bonds formed between Atg4 and drug molecules during the complete trajectory. Together with binding energy, the stability results indicate distinct ligand binding to Atg4. Our work provides pharmacokinetic properties of the screened compounds, the molecular level details of the key residues involved in Atg4-drug interactions, and dynamic stability of Atg4::drug complexes, establishing a basis for drug repurposing for the inhibition of the Atg4 mediated Atg8 cleavage in M. oryzae.

Indexed as

AutophagyDrug RepositioningEdible GrainMagnaporthePlant DiseasesAscomycotaDrug Evaluation, PreclinicalMolecular Dynamics Simulation

Identifiers

PMID41857129
PMCPMC13139455

What Socratic 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 Socratic graph.