Evidence map›Paper›PMID 41532671›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

AI-Based D-Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug-Resistant Bacterial Infection.

Yinuo Zhao, Qingzhou Kong, Haifan Gong, Lixiang Li, Jialu Fu, Boyao Wan, Peizhu Wang, Xiaojuan Li, Yue Wang, Jinghui Zhang and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. De Novo Multi-Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Article
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

15 authors.

Yinuo ZhaoDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0004-7550-9941
Qingzhou KongDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-4744-3269
Haifan GongDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-2749-6830
Lixiang LiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jialu FuDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Boyao WanDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Peizhu WangDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xiaojuan LiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yue WangDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jinghui ZhangDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yanbo YuDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xiaoyun YangDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xiuli ZuoDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Haina WangSchool of Pharmaceutical Sciences, Shandong University, Jinan, China.
Yanqing LiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0003-0575-0399

Funding

National Natural Science Foundation of China 82270580National Natural Science Foundation of China 82470571Taishan Scholar Foundation of Shandong Province
6 · The paper itself

Abstract

D-amino acid substitution provides an effective strategy for optimizing antimicrobial peptides (AMPs) by enhancing their stability. However, the absence of universal rules renders traditional screening methods time-consuming and labor-intensive, potentially leading to reduced or complete loss of activity. Here, we curated a D-amino acid-substituted AMP dataset from published literature and databases. We then developed ADAPT, an AI-based tool for predicting the functional impact of D-amino acid substitutions, and integrated it into a high-throughput screening pipeline for AMP optimization. Of the variants obtained through this pipeline, 80% exhibited enhanced antibacterial activity. Among these, dR2-1 showed exceptional broad-spectrum antimicrobial activity, reduced toxicity, and substantially improved stability. Mechanistic studies confirmed a membrane-targeting antibacterial mode of action. Furthermore, we engineered a hydrogel delivery system that effectively treated cutaneous infections in mice. Overall, our study established an AI-based framework for D-amino acid substitution in AMPs, enabling the efficient discovery of potent and stable candidates with enhanced clinical translation potential.

Indexed as

Amino Acid SubstitutionAnti-Bacterial AgentsAntimicrobial PeptidesArtificial IntelligenceBacterial InfectionsDrug Resistance, Multiple, BacterialAnimalsHumansMiceMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial Peptidesantimicrobial peptidesantimicrobial resistanceartificial intelligenceD‐amino acids

Identifiers

PMID41532671
PMCPMC12915103

What OpenQuestion holds

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Registered trials

None linked

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.