Babelomics is a suite of web tools for the functional annotation and analysis of groups of genes in high throughput experiments. Tools include: FatiGO, FatiGOplus, Fatiscan, Gene Set Enrichment Analysis (GSEA), Marmite, and the Tissues Mining Tool (TMT). Other tools include Biocarta pathways, Transfac and a tool de novo functional annotation of sequences.
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.
BioNumbers (http://www.bionumbers.hms.harvard.edu) is a database of key numbers in molecular and cell biology--the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists. Contents of the database range from cell sizes to metabolite concentrations, from reaction rates to generation times, from genome sizes to the number of mitochondria in a cell. All numbers are taken directly from a literature source and that reference is provided with the number.
The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. This integration allows users of NCBI's Entrez databases to quickly categorize proteins, genes and small molecules by metabolic pathway, disease state or other BioSystem type.
FatiGOplus is a tool for the functional profiling of genome-scale experiments oriented to the interpretation of microarray experiments. As part of the Babelomics suite, FatiGOplus finds differential distributions of biological terms (GO, KEGG pathways, Interpro motifs, Transfac motifs, CisRed motifs, etc.) between two groups of genes.
The KEGG PATHWAY database contains pathway maps for the molecular systems in both normal and perturbed states. In the KEGG DISEASE database, each disease is represented by a list of known disease genes, any known environmental factors at the molecular level, diagnostic markers and therapeutic drugs, which may reflect the underlying molecular system. The KEGG DRUG database contains chemical structures and/or chemical components of all drugs in Japan, including crude drugs and TCM (Traditional Chinese Medicine) formulas, and drugs in the USA and Europe. The new disease/drug information resource named KEGG MEDICUS can be used as a reference knowledge base for computational analysis of molecular networks, especially, by integrating large-scale experimental datasets.
Pathway maps, molecular catalogs, genome maps and gene catalogs that capture knowledge about interactions in terms of information pathways. KEGG comprises several databases, including BRITE (protein-protein interactions), PATHWAY (interaction networks for cellular processes), and LIGAND (chemical compounds and chemical reactions). KEGG Atlas is a new tool for the global analysis of metabolic pathways.
PredUs is a web server for the prediction of protein-protein interfaces. The method predicts protein-protein interfaces of a given monomeric query protein using its close and remote structural neighbors.
webPIPSA is the web server for Protein Interaction Property Similarity Analysis (PIPSA), a procedure for the comparison and analysis of protein electrostatic potentials for a large number of related protein structures. The resulting matrices of pairwise electrostatic similarities may be visualized as epograms or heat maps.