Evidence map›Paper›PMID 41075721›Full record

ReviewCurrent opinion in biotechnology2025

Emerging strategies to enhance microbial natural product-based drug discovery.

Michael Madden, Conor Pulliam, Katherine Holandez-Lopez, Andrew Campbell, Jie Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Michael MaddenDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, United States; Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, University of Texas at Austin, Austin, TX 78712, United States.
Conor PulliamDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, United States; Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, University of Texas at Austin, Austin, TX 78712, United States.
Katherine Holandez-LopezDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, United States; Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, University of Texas at Austin, Austin, TX 78712, United States.
Andrew CampbellDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, United States.
Jie LiDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, United States; Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, University of Texas at Austin, Austin, TX 78712, United States.

Funding

Accessing and Expanding Natural Products Chemical Diversity by Big-data Analysis and Biosynthetic InvestigationR35GM150565 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Jie Li · 2023 to 2026
$1.3M
NIGMS NIH HHS R35 GM150565
6 · The paper itself

Abstract

Natural products (NPs) have served as a major source of chemically novel, bioactive therapeutics for the treatment of various diseases. In recent years, NP discovery has benefited greatly from advancements in biotechnological fields. This review covers techniques and tools from 2022 to 2025 that have expanded NP discovery capabilities through gene-editing tools to activate silent biosynthetic genes, cell-free methods for NP production and diversification, as well as artificial intelligence and informatics tools for structure generation and correlational studies.

Indexed as

Biological ProductsDrug DiscoveryArtificial IntelligenceBacteriaBiotechnologyGene EditingHumansBiological Products

Identifiers

PMID41075721
PMCPMC13265154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.