The Protein Data Bank and the Challenge of Structural Genomics

Published

November 1, 2000

Author(s)

H M. Berman, Talapady N. Bhat, P E. Bourne, Z. Feng, G L. Gilliland, H Weissig, J Westbrook

Abstract

The determination of structures on a genomic scale in a high-throughput mode will have an impact on every aspect of the Protein Data Bank (PDB) - the single archive for all biomacromolecular structural data. Although estimates vary, the PDB could triple in size over the next 5 years. Not only is it likely that the number of structures will increase dramatically, but the information about each structure is destined to grow as well. Uniform experimental practices will offer the opportunity to automatically collect more data from each structure determination. The quality of structures from high-throughput experiments may be more variable, depending upon such factors as the extent of refinement. Now, in addition to archiving the results of structural biology projects driven by the need to answer questions arising from the results of biochemical experiments, we will need to catalogue structures for which little or no functional information is available. How will the PDB respond to changes in quantity, quality and available functional information in this new era?

Citation

Nature Structural Biology

Volume

7

Issue

Suppl. S

Pub Type

Journals

Keywords

data bank, high-throughput, informatics, protein

Citation

Berman, H. , Bhat, T. , Bourne, P. , Feng, Z. , Gilliland, G. , Weissig, H. and Westbrook, J. (2000), The Protein Data Bank and the Challenge of Structural Genomics, Nature Structural Biology (Accessed December 3, 2024)