Evidence map›Paper›PMID 42368254›Full record

ArticleArXiv2026

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

Jay Hwasung Jung, Xiaohan Zhang, Shenghan Song, Mahmoud Sayedahmed, Chijian Xiang, Yunong Xu, Ahmed AbdelKhalek, Severin T Schneebeli, Matthew J Wargo, Jianing Li and 1 more

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

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

11 authors.

Jay Hwasung JungDepartment of Computer Science, University of Vermont, Burlington, VT, USA.
Xiaohan ZhangDepartment of Computer Science, University of Vermont, Burlington, VT, USA.
Shenghan SongBorch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.
Mahmoud SayedahmedDepartment of Comparative Pathobiology, Purdue University, West Lafayette, IN, USA.
Chijian XiangBorch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.
Yunong XuBorch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.
Ahmed AbdelKhalekDepartment of Comparative Pathobiology, Purdue University, West Lafayette, IN, USA.
Severin T SchneebeliDepartment of Industrial and Molecular Pharmaceutics, Purdue University, West Lafayette, IN, USA.
Matthew J WargoDepartment of Microbiology and Molecular Genetics, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Jianing LiBorch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.
Safwan WshahDepartment of Computer Science, University of Vermont, Burlington, VT, USA.

Funding

Robust Sequence-defined Nanocages with Protein-mimetic CavitiesR35GM147579 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Severin Thomas Schneebeli · 2022 to 2026
$1.9M
Precision Design of Antimicrobial Peptides Against Bacterial InfectionsR01GM143370 · NIGMS · PURDUE UNIVERSITY · PI LI, JIANING · 2022 to 2025
$1.2M
NIGMS NIH HHS R01 GM143370NIGMS NIH HHS R35 GM147579
6 · The paper itself

Abstract

Antimicrobial resistance causes to over a million deaths annually. Antimicrobial peptides (AMPs) are a promising solution, but generative AMP models are not yet ready to design peptides with non-natural amino acids and/or chemical modifications, which are essential for real-world peptide drugs. We present

Identifiers

PMID42368254
PMCPMC13308455

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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.