PathArt™ is a curated database of biomolecular interactions with tools for searching, analysis and visualization of data.

PathArt™ has three modules

	The Pathway module (PathArt™ Core)
	The Interaction Map Module
	The Drug-Target Module

PathArt^TM Core                                                                               

PathArt^TM Core is a comprehensive collection of curated      data  from literature as well as public domain databases for    more   than 2100 signaling and metabolic pathways.   PathArtTM    includes a database component and dynamic   pathway articulator component, which builds directed acyclic    graphs from molecular interaction networks.

Diseases Covered (31)

Asthma, Atherosclerosis, Alzheimer’s, AIDS, Chronic Myeloid Leukemia, Chronic Obstructive Pulmonary Disease (Chronic Bronchitis and Emphysema), Diabetes Type II, Breast Cancer, Colon Cancer, Glioblastoma, Lung Cancer, Prostate Cancer, Parkinson’s Disease, Pancreatic Cancer, Melanoma, Multiple Sclerosis, Erectile Dysfunction, Obesity, Osteoarthritis, Osteoporosis, Ovarian Cancer, Rheumatoid Arthritis, Inflammatory Bowel Disease, Ulcerative Colitis, Crohn’s Disease, Schizophrenia, Depression, Hypertension, Bipolar Disorder, Liver Cancer and Stomach Cancer.

Physiologies covered (19)

Apoptosis, Cell Adhesion, Cell-cycle, DNA Repair,   Development, Pain, Growth and Differentiation, Inflammation  , Keratinocyte Differentiation, Myogenesis, Neurogenesis,  Protein Families, Skeletal Development, Thrombopoiesis,   Angiogenesis, Erythropoiesis, Lymphopoiesis, Monopoiesis   and others.

Interaction Maps

Interaction Maps (IM) is a manually curated database with  more than 120,000 interactions for 17 organisms captured  from over 70,000 abstracts. Extensive data coverage on  protein-protein, protein-small molecule, protein-RNA,  protein-DNA and protein-drug interactions gives this  database  the competitive edge. Data grows at a rate of  more  than 20,000 interactions per quarter.

Drug-Target Module

The Drug-Target module garners contains manually curated data on toxicity, PK/PD, toxicogenomics etc. as well as public domain data on 300 anticancer drug molecules which is portable in to SDF format. The data also has disease centric target information.

Data Features

	Three different modules integrated - PathArtTM (pathways module), ImapsTM (biomolecular interaction module) and the druggable target module (focus on anticancer drugs)
	Classification of pathways into canonical and non canonical, with organism, organ, cell-type specific data.
	Manually curated data for disease/physiology specific interactions, mutations and knockouts.
	All the relevant details about the interaction like the mechanism, mode, model/organism etc. captured
	Functional annotation for genes from over 12 public domain databases

Application Features

	Dynamically generated interaction networks to depict interaction data and tabular report for the interactions.
	Search types provided include pathway, component, public domain id, effect and inhibitor-based searches.
	Data export option in SBML, HTML and XML formats
	Homolog mapping for the genes across species in PathArtTM and Interaction Maps.
	Isoform mapping for genes captured in the database.
	Search based on component name, ‘Shortest path’ and ‘All path’ in Interaction Maps.
	Option to map components from Interaction maps to PathArtTM to view them in a pathway perspective.
	Provision to highlight the genes for which inhibitor, drug, mutation or knockout information is available in the graphical representation.
	Custom coloring of components based on cellular location, component type etc. and also based on parameters like expression ratios (for microarray data analysis).
	Tagging of mutations in enzymes in metabolic pathways along with metabolic disorder information.
	Inbuilt microarray data analysis capabilities which includes various normalization and clustering algorithms.
	Mapping of relevant gene sets from the statistical analysis result onto pathways.
	Two way integration with widely used microarray analysis tools such as Gene SpringTM and SpotfireTM