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TitleThe ASTRAL Compendium in 2004
Author(s)Chandonia, John-Marc; Hon, Gary; Walker, Nigel S.; Lo Conte, Loredana; Koehl, Patrice; Levitt, Michael; Brenner, Steven E.
Publication DateSeptember 15, 2003
Report NumberLBNL--53820
Unique IdentifierACC0491
Other NumbersOSTI ID: 833566; R&D Project: 864D1B
Research OrgErnest Orlando Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (US)
Contract NoAC03-76SF00098
Sponsoring OrgU.S. Department of Energy (DOE); National Institutes of Health (NIH) Contracts 1-P50-GM62412 and 1-K22-HG00056; Searle Scholars Program 01-L-116 (US)
Other InformationNucleic Acids Research -- Special Issue; Volume: 32; D189-D192
Subject59 Basic Biological Sciences; Domain Structure; Protein Structure; Transformations
Related Web PagesMichael Levitt and Computational Chemistry
AbstractThe ASTRAL compendium provides several databases and tools to aid in the analysis of protein structures, particularly through the use of their sequences. Partially derived from the SCOP database of protein structure domains, it includes sequences for each domain and other resources useful for studying these sequences and domain structures. The current release of ASTRAL contains 54,745 domains, more than three times as many as the initial release four years ago. ASTRAL has undergone major transformations in the past two years. In addition to several complete updates each year, ASTRAL is now updated on a weekly basis with preliminary classifications of domains from newly released PDB structures. These classifications are available as a stand-alone database, as well as available integrated into other ASTRAL databases such as representative subsets. To enhance the utility of ASTRAL to structural biologists, all SCOP domains are now made available as PDB-style coordinate files as well as sequences. In addition to sequences and representative subsets based on SCOP domains, sequences and subsets based on PDB chains are newly included in ASTRAL. Several search tools have been added to ASTRAL to facilitate retrieval of data by individual users and automated methods.
322 K
10 pp.
View Document 

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