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By Forrest M. Mims

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I9 J. W. Fickett, Trends B&hem. Sci. 11, 190 (1986). *OH. J. Morowitz and T. Smith, Report of the Matrix of Biological Knowledge, Santa Fe Institute, July 13-August 14, 1987. 48 DATABASES 131 nucleotide sequences. To this end, researchers at PIR have developed a sequence information retrieval system that operates simultaneously on several protein and nucleotide sequence databases. With this system, one can rapidly search all of the resident databases for text terms such as protein names, keywords, author names, and organism names.

Bernstein, T. F. Koetzle, G. J. B. Williams, E. F. , M. D. Brice, J. R. Rodgers, 0. Kennard, T. Shimanouchi, and M. Tasumi, J. Mol. Biol. 112,535 (1977). 131 PROTEIN IDENTIFICATION RESOURCE 47 bases. Special attention is being focused on intercommunication between, and compatible organization with, these related databases. A forum for exchange with other groups has been provided by the CODATA Task Group on the Coordination of Protein Sequence Data Banks,14,i8 recently reorganized as the Task Group on Biological Macromolecules and expanded to include representatives from the major nucleic acid databases.

For example, scientists in Beijing and Shanghai are preparing entries for protein sequences reported in Chinese journals. These are sent in computer-readable form to JIPID and forwarded by electronic mail to the PIR, where they are added to the database. Currently the processing of a submitted entry involves nearly as much staff effort as one that was entered in-house: vocabulary and format must be made consistent with database conventions, the new data may be combined with overlapping data, and the sequence is tested for homology to other sequences and placed with its closest relatives in the database.

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Understanding Digital Computers by Forrest M. Mims

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