Literature DB >> 15287818

The impact of structural genomics on the protein data bank.

Helen M Berman1, John D Westbrook.   

Abstract

The advent of structural genomics presents new challenges to the archive of biomacromolecular structures--the Protein Data Bank (PDB). As technologies involved in structure determination have advanced, both the number and size of structures available in the PDB have increased rapidly. The structural genomics initiatives are creating a large amount of data that needs to be tracked, archived, and made easily available. The PDB has developed tools to facilitate the rapid deposition of data produced by the structural genomics initiatives and has created databases to track the progress of the work. Copyright 2004 Adis Data Information BV

Mesh:

Year:  2004        PMID: 15287818     DOI: 10.2165/00129785-200404040-00004

Source DB:  PubMed          Journal:  Am J Pharmacogenomics        ISSN: 1175-2203


  8 in total

1.  Creating protein models from electron-density maps using particle-filtering methods.

Authors:  Frank DiMaio; Dmitry A Kondrashov; Eduard Bitto; Ameet Soni; Craig A Bingman; George N Phillips; Jude W Shavlik
Journal:  Bioinformatics       Date:  2007-10-12       Impact factor: 6.937

2.  Spherical-harmonic decomposition for molecular recognition in electron-density maps.

Authors:  Frank P DiMaio; Ameet B Soni; George N Phillips; Jude W Shavlik
Journal:  Int J Data Min Bioinform       Date:  2009       Impact factor: 0.667

3.  High-throughput computational structure-based characterization of protein families: START domains and implications for structural genomics.

Authors:  Hunjoong Lee; Zhaohui Li; Antonina Silkov; Markus Fischer; Donald Petrey; Barry Honig; Diana Murray
Journal:  J Struct Funct Genomics       Date:  2010-04-11

4.  Structural relationships in the lysozyme superfamily: significant evidence for glycoside hydrolase signature motifs.

Authors:  Alexandre Wohlkönig; Joëlle Huet; Yvan Looze; René Wintjens
Journal:  PLoS One       Date:  2010-11-09       Impact factor: 3.240

5.  COFACTOR: an accurate comparative algorithm for structure-based protein function annotation.

Authors:  Ambrish Roy; Jianyi Yang; Yang Zhang
Journal:  Nucleic Acids Res       Date:  2012-05-08       Impact factor: 16.971

6.  ProFunc: a server for predicting protein function from 3D structure.

Authors:  Roman A Laskowski; James D Watson; Janet M Thornton
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

7.  Rapid detection of similarity in protein structure and function through contact metric distances.

Authors:  Andreas Martin Lisewski; Olivier Lichtarge
Journal:  Nucleic Acids Res       Date:  2006-11-27       Impact factor: 16.971

8.  Systematic identification of phosphorylation-mediated protein interaction switches.

Authors:  Matthew J Betts; Oliver Wichmann; Mathias Utz; Timon Andre; Evangelia Petsalaki; Pablo Minguez; Luca Parca; Frederick P Roth; Anne-Claude Gavin; Peer Bork; Robert B Russell
Journal:  PLoS Comput Biol       Date:  2017-03-27       Impact factor: 4.475

  8 in total

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