PathArt™ is a curated database of biomolecular interactions that can be imported into Pathway Studio to provide extensive 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 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.

 For further data features see Jubilant PathArt