STITCH, or 'Search Tool for Interacting Chemicals', is a comprehensive resource designed to provide an integrated overview of protein-small molecule interactions. It consolidates information scattered across various databases, scientific literature, and prediction methods into one unified platform. The database includes data on over 430,000 chemicals, making it a vast and versatile resource for researchers.
STITCH is a database of known and predicted interactions between chemicals and proteins. The interactions include direct (physical) and indirect (functional) associations; they stem from computational prediction, from knowledge transfer between organisms, and from interactions aggregated from other (primary) databases.
Genomic Context Predictions High-throughput Lab Experiments (Conserved) Co-Expression Automated Textmining Previous Knowledge in Databases Coverage
The STITCH database currently covers 9,643,763 proteins from 2,031 organisms.
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Szklarczyk D, Santos A, von Mering C, Jensen LJ, Bork P, Kuhn M. STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data. Nucleic Acids Res. 2016 Jan 4;44(D1):D380-4. https://academic.oup.com/nar/article/44/D1/D380/2503089
Kuhn M, Szklarczyk D, Pletscher-Frankild S, Blicher TH, von Mering C, Jensen LJ, Bork P. STITCH 4: integration of protein-chemical interactions with user data. Nucleic Acids Res. 2014 Jan;42(Database issue):D401-7.
Kuhn M, Szklarczyk D*, Franceschini A, von Mering C, Jensen LJ, Bork P. STITCH 3: zooming in on protein-chemical interactions. Nucleic Acids Res. 2012 Jan;40(Database issue):D876-80.
Kuhn M, Szklarczyk D, Franceschini A, Campillos M, von Mering C, Jensen LJ, Beyer A, Bork P. STITCH 2: an interaction network database for small molecules and proteins. Nucleic Acids Res. 2010 Jan;38(Database issue):D552-6.
Kuhn M, von Mering C, Campillos M, Jensen LJ, Bork P. STITCH: interaction networks of chemicals and proteins. Nucleic Acids Res. 2008 Jan;36(Database issue):D684-8.