Evidence map›Paper›PMID 36408920›Full record

ArticleNucleic acids research2023

UniProt: the Universal Protein Knowledgebase in 2023.

UniProt Consortium

Registry-linked trialAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07527247 (Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity), which is not on this map. Cited by 3,843 papers.

0numbers the graph read from it
0cells of the map it votes in
3,843citing 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.

NCT07527247 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity

TypeinterventionalSponsorSingapore General HospitalRan2025 to 2029Enrolled40ConditionsImmune System Responses and Trained Immunity After AS01 Administration, Healthy AdultArmsAS01 adjuvant (0.5 mL intramuscular), YF17D (Stamaril, Sanofi-Pasteur), Placebo (NaCl 09%, 0.5mL)
3 · Its place in the literature

Who cites it

3,843 citing papers in PubMed.

  1. Article
  2. MultilevelCurrent research in structural biology · 2026
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  6. A structure-aware generative AI framework for revealing functional relationships in protein families.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Urban PMMolecular neurobiology · 2026
    Article
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3,783 more citing papers are in PubMed but not listed here.

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

1 author.

UniProt Consortium

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
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
Protein Knowledge Networks and Semantic Computing for Disease DiscoveryR35GM141873 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2021 to 2025
$2.2M
Biotechnology and Biological Sciences Research Council BB/S01781X/1NHGRI NIH HHS P41 HG002273NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U24 HG007822NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this publication we describe enhancements made to our data processing pipeline and to our website to adapt to an ever-increasing information content. The number of sequences in UniProtKB has risen to over 227 million and we are working towards including a reference proteome for each taxonomic group. We continue to extract detailed annotations from the literature to update or create reviewed entries, while unreviewed entries are supplemented with annotations provided by automated systems using a variety of machine-learning techniques. In addition, the scientific community continues their contributions of publications and annotations to UniProt entries of their interest. Finally, we describe our new website (https://www.uniprot.org/), designed to enhance our users' experience and make our data easily accessible to the research community. This interface includes access to AlphaFold structures for more than 85% of all entries as well as improved visualisations for subcellular localisation of proteins.

Indexed as

Databases, ProteinKnowledge BasesAmino Acid SequenceMachine LearningProteomeProteome

Identifiers

PMID36408920
PMCPMC9825514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.