Evidence map›Paper›PMID 40838108›Full record

ReviewMedical review (2021)2025

Target discovery-directed pharmacological mechanism elucidation of bioactive natural products.

Zixuan Zhen, Lina Yin, Tingting Niu, Asma Rehman, Yang Liu, Kewu Zeng

Abstract readReview
In one paragraph

Review in Medical review (2021), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

6 authors.

Zixuan ZhenState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Lina YinState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Tingting NiuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Asma RehmanCancer Center of Peking University Third Hospital, Beijing, China.
Yang LiuInstitute of Medical Innovation and Research, Center of Basic Medical Research, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0009-0002-8826-0845
Kewu ZengState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products, the most important chemical library with magical structures and unique functions, have long been playing significant roles in contributing to the discovery of novel drugs. The complexity and diversity of natural products present great challenges regarding the exploration of their potential targets. Identifying the targets of natural products not only enhances our understanding of biological functions and molecular mechanisms, but also paves the way for discovering novel lead compounds for disease treatment. Recent advances in technologies like chemical biology, structural biology, and artificial intelligence have provided powerful tools for pinpointing natural product target and unraveling molecular mechanisms. This review aims to comprehensively summarize the innovative strategies employed in recent years to identify natural product targets, and evaluate their impact on biological pathways by modulating target functions for pharmacological effects. Moreover, we also discuss the challenges encountered in this field and outline future research prospects, aiming to offer guidance for researchers in natural product chemical biology.

Indexed as

bioactive natural productspharmacological mechanismtarget identification

Identifiers

PMID40838108
PMCPMC12362066

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.