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The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

📅 Published: November 12, 2022 👤 Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli et al. 📖 Nucleic Acids Research 📊 8,681 citations
AI-Generated Summary

Much of the complexity within cells arises from functional and regulatory interactions among proteins. The most recent developments in STRING (version 12.0) are: (i) it is now possible to create, browse and analyze a full interaction network for any novel genome of interest, by submitting its complement of encoded proteins, (ii) the co-expression channel now uses variational auto-encoders to predict interactions, and it covers two new sources, single-cell RNA-seq and experimental proteomics data...

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 The core of these interactions is increasingly known, but novel interactions continue to be discovered, and the information remains scattered across different database resources, experimental modalities and levels of mechanistic detail.
  • 2 The STRING database (https://string-db.org/) systematically collects and integrates protein-protein interactions-both physical interactions as well as functional associations.
  • 3 The data originate from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources.
Why It Matters

This work deepens our understanding of the fundamental laws governing the universe, from subatomic particles to cosmic structures.

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Article Details
Source OpenAlex
Category ⚛️ Physics & Space Science
Published Nov 12, 2022
Journal Nucleic Acids Research
DOI 10.1093/nar/gkac1000
Citations 8,681
Authors Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli, Katerina Nastou, Farrokh Mehryary