» Articles » PMID: 26590256

STITCH 5: Augmenting Protein-chemical Interaction Networks with Tissue and Affinity Data

Overview
Specialty Biochemistry
Date 2015 Nov 22
PMID 26590256
Citations 633
Authors
Affiliations
Soon will be listed here.
Abstract

Interactions between proteins and small molecules are an integral part of biological processes in living organisms. Information on these interactions is dispersed over many databases, texts and prediction methods, which makes it difficult to get a comprehensive overview of the available evidence. To address this, we have developed STITCH ('Search Tool for Interacting Chemicals') that integrates these disparate data sources for 430 000 chemicals into a single, easy-to-use resource. In addition to the increased scope of the database, we have implemented a new network view that gives the user the ability to view binding affinities of chemicals in the interaction network. This enables the user to get a quick overview of the potential effects of the chemical on its interaction partners. For each organism, STITCH provides a global network; however, not all proteins have the same pattern of spatial expression. Therefore, only a certain subset of interactions can occur simultaneously. In the new, fifth release of STITCH, we have implemented functionality to filter out the proteins and chemicals not associated with a given tissue. The STITCH database can be downloaded in full, accessed programmatically via an extensive API, or searched via a redesigned web interface at http://stitch.embl.de.

Citing Articles

Discovery of Herbal Remedies and Key Components for Major Depressive Disorder Through Biased Random Walk Analysis on a Multiscale Network.

Lee J, Choi S, Lee D, Kang H, Lee J, Kim J Int J Mol Sci. 2025; 26(5).

PMID: 40076790 PMC: 11900307. DOI: 10.3390/ijms26052162.


Analysis of the fecal microbiome and metabolome in dairy cows with different body condition scores.

Saraphol B, Hinthong W, Chienwichai P, Pumipuntu N, Reamtong O, Srisook T PLoS One. 2025; 20(3):e0319461.

PMID: 40063888 PMC: 11893135. DOI: 10.1371/journal.pone.0319461.


Unveiling the anti-inflammatory mechanism of exogenous hydrogen sulfide in Kawasaki disease based on network pharmacology and experimental validation.

Yu L, Luo Q, Rao X, Xiao X, Wang P Sci Rep. 2025; 15(1):7410.

PMID: 40033067 PMC: 11876624. DOI: 10.1038/s41598-025-91998-7.


Zebularine showed anti-tumor efficacy in clear cell renal cell carcinoma.

Xu H, Peng S, Li J, Bai Y, Zhao G, Liang S Front Pharmacol. 2025; 16:1531056.

PMID: 40028163 PMC: 11868290. DOI: 10.3389/fphar.2025.1531056.


Assessing Creatine-Related Gene Expression in Kidney Disease: Can Available Data Give Insights into an Old Discussion?.

Medeiros M, Abreu B, Lima J Nutrients. 2025; 17(4).

PMID: 40004980 PMC: 11858045. DOI: 10.3390/nu17040651.


References
1.
Davis A, Grondin C, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King B . The Comparative Toxicogenomics Database's 10th year anniversary: update 2015. Nucleic Acids Res. 2014; 43(Database issue):D914-20. PMC: 4384013. DOI: 10.1093/nar/gku935. View

2.
Schaefer C, Anthony K, Krupa S, Buchoff J, Day M, Hannay T . PID: the Pathway Interaction Database. Nucleic Acids Res. 2008; 37(Database issue):D674-9. PMC: 2686461. DOI: 10.1093/nar/gkn653. View

3.
Wassermann A, Bajorath J . BindingDB and ChEMBL: online compound databases for drug discovery. Expert Opin Drug Discov. 2012; 6(7):683-7. DOI: 10.1517/17460441.2011.579100. View

4.
Petryszak R, Burdett T, Fiorelli B, Fonseca N, Gonzalez-Porta M, Hastings E . Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments. Nucleic Acids Res. 2013; 42(Database issue):D926-32. PMC: 3964963. DOI: 10.1093/nar/gkt1270. View

5.
Croft D, Mundo A, Haw R, Milacic M, Weiser J, Wu G . The Reactome pathway knowledgebase. Nucleic Acids Res. 2013; 42(Database issue):D472-7. PMC: 3965010. DOI: 10.1093/nar/gkt1102. View