The database of three-dimensional interacting domains (3did) is a collection of protein interactions for which high-resolution three-dimensional structures are known. The interface residues are presented for each interaction type individually, plus global domain interfaces at which one or more partners (domains or peptides) bind. The 3did web server visualizes these interfaces along with atomic details of individual interactions using Jmol.
ANCHOR is a web-based tool for the analysis of protein-protein interfaces. ANCHOR indicates possible druggable pockets within the protein using anhor residues.
Agile Protein Interaction DataAnalyzer (APID) allows you to query protein-protein interactions using a common platform facilitating comparison across different datasets. Currently supported interaction databases are BIND, HPRD, DIP, IntAct, and MINT.
The AtPID (Arabidopsis thaliana Protein Interactome Database) represents a centralized platform to depict and integrate the information pertaining to protein-protein interaction networks, domain architecture, ortholog information and GO annotation in the Arabidopsis thaliana proteome.
BIND SOAP is a web service providing end users with the ability to access functionality offered by the BIND Search Service through a remote Application Programming Interface (API).
BiologicalNetworks allows retrieval, construction, and visualization of biological networks and allows for the analysis of high-throughput expression data by mapping onto network graphs. BiologicalNetworks queries the PathSys system, a combined database of biological pathways, gene regulatory networks, and protein interaction maps.
The BioMet Toolbox consists of web-based resources for stoichiometric analysis of metabolic networks and for integration of transcriptome and interactome data into these networks to simulate growth rates, substrate uptake rates and metabolic production rates. Files for model organisms are included.
Bioverse is a system that uses computational techniques to facilitate exploring the relationships between molecular, genomic, proteomic, systems and organismal information.
Binary subcomplexes in proteins database (BISC) is a protein-protein interaction (PPI) database linking up the two communities most active in their characterization: structural biology and functional genomics researchers. The BISC resource offers users (i) a structural perspective and related information about binary subcomplexes (i.e. physical direct interactions between proteins) that are either structurally characterized or modellable entries in the main functional genomics PPI databases BioGRID, IntAct and HPRD; (ii) selected web services to further investigate the validity of postulated PPI by inspection of their hypothetical modelled interfaces.
ChemProt, a disease chemical biology database, which is based on a compilation of multiple chemical-protein annotation resources, as well as disease-associated protein-protein interactions (PPIs). The PPI network layer allows for studying disease and tissue specificity through each protein complex. ChemProt can assist in the in silico evaluation of environmental chemicals, natural products and approved drugs, as well as the selection of new compounds based on their activity profile against most known biological targets, including those related to adverse drug events.
ClusPro is a tool for automatically computing the docking of two protein structures supplied by the user (or as PDB IDs). The result set is a ranked list of putative complexes, ordered by clustering properties.
ConsensusPathDB is a meta-database that integrates physical protein interactions, metabolic and signaling reactions and gene regulatory interactions in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. ConsensusPathDB offers different ways of utilizing these integrated interaction data, with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways.
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