期刊
BIOINFORMATICS
卷 30, 期 1, 页码 141-142出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt627
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资金
- NIH [R01 DK073368, DP1 CA174423, RR020839, DK082840, GM076102, CA125807, CA160036, HG006434]
- NATIONAL CANCER INSTITUTE [U24CA160036, DP1CA174423, R43CA125807, R44CA125807] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR RESEARCH RESOURCES [U54RR020839] Funding Source: NIH RePORTER
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [U54HG006434] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK073368, R24DK082840] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM076102] Funding Source: NIH RePORTER
- Division Of Human Resource Development [1038160] Funding Source: National Science Foundation
Phosphorylation plays an important role in cellular signal transduction. Current phosphorylation-related databases often focus on the phosphorylation sites, which are mainly determined by mass spectrometry. Here, we present PhosphoNetworks, a phosphorylation database built on a high-resolution map of phosphorylation networks. This high-resolution map of phosphorylation networks provides not only the kinase-substrate relationships (KSRs), but also the specific phosphorylation sites on which the kinases act on the substrates. The database contains the most comprehensive dataset for KSRs, including the relationships from a recent high-throughput project for identification of KSRs using protein microarrays, as well as known KSRs curated from the literature. In addition, the database also includes several analytical tools for dissecting phosphorylation networks. PhosphoNetworks is expected to play a prominent role in proteomics and phosphorylation-related disease research.
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