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.
The Database of Arabidopsis Transcription Factors (DATF) contains information of more than 1800 known and predicted transcription factors for Arabidopsis.
LocDB is a manually curated database with experimental annotations for the subcellular localizations of proteins in Homo sapiens (HS, human) and Arabidopsis thaliana (AT, thale cress). Each database entry contains the experimentally derived localization in Gene Ontology (GO) terminology, the experimental annotation of localization, localization predictions by state-of-the-art methods and, where available, the type of experimental information. LocDB is searchable by keyword, protein name and subcellular compartment, as well as by identifiers from UniProt, Ensembl and TAIR resources.
Munich Information Centre for Protein Sequences projects include: fungal genome analysis, plant genome bioinformatics, structural genomics, proteomics and genome annotation. Projects and databases include: CYGD, MNCDB, NGFN, MPPI, SIMAP, QUIPOS, MATDB, MOsDB, SPUTNIK, and PEDANT.
The predicted Arabidopsis interactome resource (PAIR) contains experimentally reported molecular interactions and predicted interactions in Arabidopsis thaliana. PAIR predicts interactions by a fine-tuned support vector machine model that integrates indirect evidences for interaction, such as gene co-expressions, domain interactions, shared GO annotations, co-localizations, phylogenetic profile similarities and homologous interactions in other organisms (interologs). PAIR features a user-friendly query interface, providing rich annotation on the relationships between two proteins. A graphical interaction network browser has also been integrated into the PAIR web interface to facilitate mining of specific pathways.
PatMatch is a pattern matching tool that allows you to search for short (<20 residues) nucleotide or peptide sequences and can accomodate ambiguous/degenerate patterns.
The Arabidopsis Protein Phosphorylation Site Database (PhosPhAt 3.0) contains information on Arabidopsis phosphorylation sites which were identified by mass spectrometry in large scale experiments by different research groups. Specific information about the peptide properties, their annotated biological function as well as the experimental and analytical context is given. For a majority of peptides, the actual annotated mass spectrum is displayed in interactive manner.
A web based tool that integrates text mining and information extraction techniques to access useful information for analyzing genetic, cellular and molecular aspects of Arabidposis thaliana.