The STRING database in 2025: protein networks with directionality of regulation

dc.contributor.authorSzklarczyk, Damian
dc.contributor.authorNastou, Katerina
dc.contributor.authorKoutrouli, Mikaela
dc.contributor.authorKirsch, Rebecca
dc.contributor.authorMehryary, Farrokh
dc.contributor.authorHachilif, Radja
dc.contributor.authorHu, Dewei
dc.contributor.authorPeluso, Matteo E.
dc.contributor.authorHuang, Qingyao
dc.contributor.authorFang, Tao
dc.contributor.authorDoncheva, Nadezhda T.
dc.contributor.authorPyysalo, Sampo
dc.contributor.authorBork, Peer
dc.contributor.authorJensen, Lars J.
dc.contributor.authorvon Mering, Christian
dc.contributor.organizationfi=data-analytiikka|en=Data-analytiikka|
dc.contributor.organization-code1.2.246.10.2458963.20.68940835793
dc.converis.publication-id470957177
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/470957177
dc.date.accessioned2025-08-27T22:38:11Z
dc.date.available2025-08-27T22:38:11Z
dc.description.abstract<p>Proteins cooperate, regulate and bind each other to achieve their functions. Understanding the complex network of their interactions is essential for a systems-level description of cellular processes. The STRING database compiles, scores and integrates protein–protein association information drawn from experimental assays, computational predictions and prior knowledge. Its goal is to create comprehensive and objective global networks that encompass both physical and functional interactions. Additionally, STRING provides supplementary tools such as network clustering and pathway enrichment analysis. The latest version, STRING 12.5, introduces a new ‘regulatory network’, for which it gathers evidence on the type and directionality of interactions using curated pathway databases and a fine-tuned language model parsing the literature. This update enables users to visualize and access three distinct network types—functional, physical and regulatory—separately, each applicable to distinct research needs. In addition, the pathway enrichment detection functionality has been updated, with better false discovery rate corrections, redundancy filtering and improved visual displays. The resource now also offers improved annotations of clustered networks and provides users with downloadable network embeddings, which facilitate the use of STRING networks in machine learning and allow cross-species transfer of protein information. The STRING database is available online at <a href="https://string-db.org/">https://string-db.org/</a>.<br></p>
dc.format.pagerangeD730
dc.format.pagerangeD737
dc.identifier.eissn1362-4962
dc.identifier.jour-issn0305-1048
dc.identifier.olddbid202512
dc.identifier.oldhandle10024/185539
dc.identifier.urihttps://www.utupub.fi/handle/11111/47082
dc.identifier.urlhttp://doi.org/10.1093/nar/gkae1113
dc.identifier.urnURN:NBN:fi-fe2025082785748
dc.language.isoen
dc.okm.affiliatedauthorMehryary, Farrokh
dc.okm.affiliatedauthorPyysalo, Sampo
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOxford University Press (OUP)
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1093/nar/gkae1113
dc.relation.ispartofjournalNucleic Acids Research
dc.relation.issueD1
dc.relation.volume53
dc.source.identifierhttps://www.utupub.fi/handle/10024/185539
dc.titleThe STRING database in 2025: protein networks with directionality of regulation
dc.year.issued2025

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