Evidence map›Paper›PMID 39251610›Full record

ArticleScientific data2024

EnzChemRED, a rich enzyme chemistry relation extraction dataset.

Po-Ting Lai, Elisabeth Coudert, Lucila Aimo, Kristian Axelsen, Lionel Breuza, Edouard de Castro, Marc Feuermann, Anne Morgat, Lucille Pourcel, Ivo Pedruzzi and 9 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. The Role of N-ary Relations in Representing Biomedical Complexity.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Po-Ting Lai *National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, 20894, USA.ORCID 0000-0003-2025-318X
Elisabeth Coudert *Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-8314-404X
Lucila AimoSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0003-0943-6401
Kristian AxelsenSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0003-3889-2879
Lionel BreuzaSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0002-8075-8625
Edouard de CastroSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-5436-7383
Marc FeuermannSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0002-4187-2863
Anne MorgatSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0002-1216-2969
Lucille PourcelSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0003-1522-9900
Ivo PedruzziSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-8561-7170
Sylvain PouxSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-7299-6685
Nicole RedaschiSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-8890-2268
Catherine RivoireSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0002-5979-8382
Anastasia SveshnikovaSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland.ORCID 0000-0001-9291-0965
Chih-Hsuan WeiNational Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, 20894, USA.
Robert LeamanNational Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, 20894, USA.ORCID 0000-0003-3296-5766
Ling LuoSchool of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China.ORCID 0000-0002-5141-0259
Zhiyong LuNational Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, 20894, USA. zhiyong.lu@nih.gov.ORCID 0000-0001-9998-916X
Alan BridgeSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211, Geneva, 4, Switzerland. alan.bridge@sib.swiss.

Funding

UniProt - Text Mining and Large Language models to Enhance Functional Annotation in UniProt of Protein Variants Associated with Alzheimer's DiseaseU24HG007822 · NHGRI · GEORGETOWN UNIVERSITY · PI Alex Bateman, Alan James Bridge · 2018 to 2026
$53.0M
UniProt: A centralized protein sequence and function resourceU41HG007822 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BATEMAN, ALEX · 2014 to 2017
$21.9M
NHGRI NIH HHS U24 HG007822NHGRI NIH HHS U41 HG007822
6 · The paper itself

Abstract

Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzyme Chemistry Relation Extraction Dataset, a new training and benchmarking dataset to support the development of Natural Language Processing (NLP) methods such as (large) language models that can assist enzyme curation. EnzChemRED consists of 1,210 expert curated PubMed abstracts where enzymes and the chemical reactions they catalyze are annotated using identifiers from the protein knowledgebase UniProtKB and the chemical ontology ChEBI. We show that fine-tuning language models with EnzChemRED significantly boosts their ability to identify proteins and chemicals in text (86.30% F

Indexed as

EnzymesNatural Language ProcessingDatabases, ProteinKnowledge BasesPubMedEnzymes

Identifiers

PMID39251610
PMCPMC11384730

What OpenQuestion 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 OpenQuestion graph.