This chapter contains sections titled: Database Design Process Loading and Exporting Data in mmCIF Exporting mmCIFs or XML Files from the Deposition Database Subtypes and 'Leaf Views' Maintenance Aspects Data Clean-up The Search Database Transformation Incremental Transformation Replication Oracle Cartridge Applications Related Data Warehouse Acknowledgements References
High throughput structural genomics projects are now underway.These projects will collect comprehensive data on protein structure.The e-msd has contributed to the detailed data representation model(s) and exchange data formats and mechanisms between each step in a structure determination.This model, incorporates the means for making the information reliable, accurate and up to date and to include indicators of reliability.The e-msd recognizes that in order for data to be used efficiently for searches within the database, and have ensured data uniformity in that the meta-description of the data is consistent across all entries.The e-msd not only allows for data harvesting and archival of clean cross referenced structural data, search mechanisms are being developed to allow research workers to for example automatically annotate structure motifs and binding site properties.
J. Pineda合作论文数2Paul L Mcneil合作论文数2Kim Henrick合作论文数Department of Chemistry, The Polytechnic of North London2John M. C. Ionides合作论文数2A. Suarez-Uruena合作论文数2Harry Boutselakis合作论文数2Dimitris Dimitropoulos合作论文数Optoelectronic Circuits and Systems Lab;University of California , Los Angeles;Optoelectronic Circuits and Systems Lab, University of California , Los Angeles2A Golovin合作论文数1J Tate合作论文数1S Sobhany合作论文数1
Peter Michael Keller合作论文数1
Evgeny B Krissinel合作论文数European Bioinformatics Institute1Peter A. Keller合作论文数1Sameer Velankar合作论文数Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus1
