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Modelling protein functional domains in signal transduction using Maude
Author and Affiliation:
Sriram, M. G.(NASA Johnson Space Center, Houston, TX United States)
Abstract: Modelling of protein-protein interactions in signal transduction is receiving increased attention in computational biology. This paper describes recent research in the application of Maude, a symbolic language founded on rewriting logic, to the modelling of functional domains within signalling proteins. Protein functional domains (PFDs) are a critical focus of modern signal transduction research. In general, Maude models can simulate biological signalling networks and produce specific testable hypotheses at various levels of abstraction. Developing symbolic models of signalling proteins containing functional domains is important because of the potential to generate analyses of complex signalling networks based on structure-function relationships.
Publication Date: Sep 01, 2003
Document ID:
20050155567
(Acquired Apr 12, 2005)
Subject Category: LIFE SCIENCES (GENERAL)
Document Type: Journal Article
Publication Information: Briefings in bioinformatics (ISSN 1467-5463); Volume 4; 3; 236-45
Publisher Information: United Kingdom
Description: In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: COMPUTERIZED SIMULATION; DOMAINS; GENETICS; MODELS; PROGRAMMING LANGUAGES; PROTEINS; SIGNAL TRANSMISSION; TRANSFERRING; ALGORITHMS; ANTIGENS; APOPTOSIS; BIOLOGY; NECROSIS; TUMORS
Other Descriptors: COMPUTER SIMULATION; MODELS, BIOLOGICAL; PROGRAMMING LANGUAGES; SIGNAL TRANSDUCTION; ALGORITHMS; ANTIGENS, CD/CHEMISTRY/METABOLISM; APOPTOSIS/PHYSIOLOGY; COMPUTATIONAL BIOLOGY/METHODS; PROTEIN STRUCTURE, TERTIARY; PROTEINS/CHEMISTRY/METABOLISM; RECEPTORS, TUMOR NECROSIS FACTOR/CHEMISTRY/METABOLISM; RECEPTORS, TUMOR NECROSIS FACTOR, TYPE I; TNF RECEPTOR-ASSOCIATED FACTOR 1
Availability Source: Other Sources
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