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UniProt: the Universal Protein Knowledgebase in 2023

Nucleic Acids Research · 2022 · Vol. 51(D1) · pp. D523–D531
Alex BatemanMaría MartinSandra OrchardMichele MagraneShadab AhmadEmanuele AlpiEmily Bowler-BarnettRamona BrittoHema Bye‐A‐JeeAustra CukuraPaul DennyTunca DoğanThankGod E. EbenezerJun FanPenelope GarmiriLeonardo Jose da Costa GonzalesEmma Hatton-EllisAbdulrahman HusseinAlexandr IgnatchenkoGiuseppe InsanaRizwan IshtiaqVishal JoshiDushyanth JyothiSwaathi KandasaamyAntonia LockAurélien LucianiMarija LugaricJie LuoYvonne LussiAlistair MacDougallFábio MadeiraMahdi MahmoudyAlok MishraKatie MoulangAndrew NightingaleSangya PundirGuoying QiShriya RajPedro RaposoDaniel L RiceRabie SaidiRafael SantosElena SperettaJames StephensonPrabhat TotooE. B. TurnerNidhi TyagiPreethi VasudevKate WarnerXavier WatkinsRossana ZaruHermann ZellnerAlan BridgeLucila AimoGhislaine Argoud‐PuyAndrea H AuchinclossKristian B. AxelsenParit BansalDelphine BaratinTeresa M Batista NetoMarie-Claude BlatterJerven BollemanEmmanuel BoutetLionel BreuzaBlanca Cabrera GilCristina Casals‐CasasKamal Chikh EchioukhElisabeth CoudertBeatrice CucheEdouard de CastroAnne EstreicherMaria Livia FamigliettiMarc FeuermannElisabeth GasteigerPascale GaudetSébastien GéhantVivienne Baillie GerritsenArnaud GosNadine GruazChantal HuloNevila Hyka‐NouspikelFlorence JungoArnaud KerhornouPhilippe Le MercierDamien LieberherrPatrick MassonAnne MorgatVenkatesh MuthukrishnanSalvo PaesanoIvo PedruzziSandrine PilboutLucille PourcelSylvain PouxMonica PozzatoManuela PruessNicole RedaschiCatherine RivoireChristian J A SigristKarin SonessonShyamala SundaramCathy WuCecilia N. ArighiLeslie ArminskiChuming ChenChuming ChenHongzhan HuangKati LaihoPeter B. McGarveyDarren A. NataleKaren RossC R VinayakaQinghua WangYuqi WangJian Zhang

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.

Genomics and Phylogenetic StudiesMachine Learning in BioinformaticsAdvanced Proteomics Techniques and ApplicationsUniProtPipeline (software)BiologyProteomeHuman proteome projectComputer scienceSet (abstract data type)Interface (matter)World Wide WebInformation retrieval

MeSH terms

Machine LearningAmino Acid SequenceProteomeDatabases, ProteinKnowledge Bases

Funding

  • Spine Education and Research Institute
  • European Molecular Biology Laboratory
  • National Institutes of Health
  • Biotechnology and Biological Sciences Research Council
  • National Institute on Aging
  • National Heart, Lung, and Blood Institute
  • National Human Genome Research Institute
  • National Eye Institute
  • National Cancer Institute
  • National Institute of General Medical Sciences
  • National Institute of Allergy and Infectious Diseases
  • National Institute of Diabetes and Digestive and Kidney Diseases
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UniProt: the Universal Protein Knowledgebase in 2023 · Scinovex