AI-Driven Plant-Derived Anti-Infectives: Integrating Traditional Wisdom into Precision Medicine Against AMR.

Zhiwu Yin, Changbin Chen, Xing Wu, Wenhao Luo, Paulo Quaresma, Jianbiao Dai

Abstract readReview

In one paragraph

Review in Life (Basel, Switzerland), 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

6 authors.

Zhiwu YinNetclass Technology Inc., Shanghai 200072, China.ORCID 0009-0002-5295-4642

Changbin ChenShanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 201203, China.ORCID 0000-0002-7961-3488

Xing WuSchool of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.ORCID 0000-0001-5331-022X

Wenhao LuoAcademy for Smart Health and Longevity R&D, University of Saint Joseph, Macao SAR, China.

Paulo QuaresmaComputer Science Department, School of Sciences and Technology, University of Évora, Rua Romão Ramalho 59, 7000-671 Évora, Portugal.ORCID 0000-0002-5086-059X

Jianbiao DaiNetclass Technology Inc., Shanghai 200072, China.ORCID 0009-0008-1439-7906

Funding

Chinese Academy of Sciences President's International Fellowship Initiative 2024PG0002

6 · The paper itself

Abstract

The escalating antimicrobial resistance (AMR) crisis necessitates the development of innovative anti-infectives with novel mechanisms of action. Nevertheless, research on natural products remains constrained by low-throughput screening and limited mechanistic insights. Artificial intelligence (AI) is catalyzing a pivotal paradigm shift-from the mere isolation of active compounds to precisely deciphering their modes of action. This review highlights AI's transformative role in bridging ethnopharmacological knowledge and modern pharmacology to decode the mechanisms of plant-derived anti-infectives. Case studies on berberine, baicalein, danshensu derivatives, and rosmarinic acid derivatives from

Indexed as

anti-infective drug discoveryantimicrobial resistanceartificial intelligencecomputational pharmacologyethnobotanymechanism of action elucidationnatural products

Identifiers

PMID42073351

DOI10.3390/life16040540

PMCPMC13117762

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

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 Socratic graph.