Evidence map›Paper›PMID 41114445›Full record

ReviewJournal of natural products2025

Machine-Readable Structural Information Is Essential for Natural Products Research.

Karin Steffen, Nicholas H Oberlies, Antonis Rokas

Abstract readReview
In one paragraph

Review in Journal of natural products, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Karin SteffenDepartment of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee 37235, United States.
Nicholas H OberliesDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolino 27402, United States.ORCID 0000-0002-0354-8464
Antonis RokasDepartment of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee 37235, United States.ORCID 0000-0002-7248-6551

Funding

Project 3:Isolation Chemistry of Filamentous Fungi and Biological EvaluationP01CA125066 · NCI · OHIO STATE UNIVERSITY · PI JIMMY ORJALA · 2007 to 2026
$27.2M
Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
NCI NIH HHS P01 CA125066NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

Structural drawings of secondary metabolites encapsulate a wealth of information, but their static nature hinders their sharing and reuse. At a time when research increasingly relies on, and benefits from, access to comprehensive natural products "big data", this hindrance is contrary to the norms of science. This Perspective discusses current challenges in sharing and accessing structure data and offers a simple solution, namely, publishing machine-readable text descriptors for new secondary metabolites. Requiring such descriptors will be straightforward to implement for both authors and publishers and will help derive even greater value from the efforts expended to understand the chemistry of Nature.

Indexed as

Biological ProductsMolecular StructureBiological Productschemical structurescheminformaticschemoinformaticsdata accessibilitydigitizationInChIInChIKeyMOLfileSMILES

Identifiers

PMID41114445
PMCPMC12670695

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.