Evidence map›Paper›PMID 40710486›Full record

ReviewMarine drugs2025

The Deep Mining Era: Genomic, Metabolomic, and Integrative Approaches to Microbial Natural Products from 2018 to 2024.

Zhaochao Wang, Juanjuan Yu, Chenjie Wang, Yi Hua, Hong Wang, Jianwei Chen

Abstract readReview
In one paragraph

Review in Marine drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  11. Article
  12. Antibiotics (Basel, Switzerland) · 2025
    Review
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.

Zhaochao WangCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.
Juanjuan YuCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.
Chenjie WangCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.
Yi HuaCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.
Hong WangCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.ORCID 0000-0003-0058-060X
Jianwei ChenCollege of Pharmaceutical Science & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310014, China.ORCID 0000-0001-5819-8441

Funding

Key Research and Development Program of Zhejiang Province 2021C03084National Key Research and Development Program of China 2022YFC2804104National Key Research and Development Program of China 2022YFC2804205National Natural Science Foundation of China 42276137Project of International Cooperation and Exchanges NSFC-ASRT W2412100
6 · The paper itself

Abstract

Over the past decade, microbial natural products research has witnessed a transformative "deep-mining era" driven by key technological advances such as high-throughput sequencing (e.g., PacBio HiFi), ultra-sensitive HRMS (resolution ≥ 100,000), and multi-omics synergy. These innovations have shifted discovery from serendipitous isolation to data-driven, targeted mining. These innovations have transitioned discovery from serendipitous isolation to data-driven targeted mining. Genome mining pipelines (e.g., antiSMASH 7.0 and DeepBGC) can now systematically discover hidden biosynthetic gene clusters (BGCs), especially in under-explored taxa. Metabolomics has achieved unprecedented accuracy, enabling researchers to target novel compounds in complex extracts. Integrated strategies-combining genomic prediction, metabolomics analysis, and experimental validation-constitute new paradigms of current "deep mining". This review provides a systematic overview of 185 novel microbial natural products discovered between 2018 and 2024, and dissects how these technological leaps have reshaped the discovery paradigm from traditional isolation to data-driven mining.

Indexed as

Biological ProductsData MiningGenomicsMetabolomicsDrug DiscoveryHumansMultigene FamilyBiological Productsgenomicsmetabolomicssecondary metabolites

Identifiers

PMID40710486
PMCPMC12299652

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.