The Impact of Structural Genomics on the Protein Data Bank

2004 ◽  
Vol 4 (4) ◽  
pp. 247-252 ◽  
Author(s):  
Helen M Berman ◽  
John D Westbrook
2016 ◽  
Vol 62 (3) ◽  
pp. 257-261
Author(s):  
John R. Helliwell

This article provides an overview of the preservation of raw diffraction data, then addresses the impact on future plans in the education and training of our community with respect to raw diffraction data and its potential reuse, and, thirdly presents the issue of referee access to the underpinning diffraction data and coordinates, as well as the Protein Data Bank Validation Report, in the review process of structural biology articles submitted for publication. Overall I pay tribute to the scientific achievements of Alex Wlodawer, who is also an ardent advocate of the importance of experimental data


2021 ◽  
pp. 100747
Author(s):  
Karolina Michalska ◽  
Andrzej Joachimiak

2012 ◽  
Vol 2 (3) ◽  
pp. 102-104
Author(s):  
Shifali Mehta ◽  
Amardeep Singh

The Protein Data Bank is a repository for the 3-D structuraldata of large biological molecules, such as proteins andnucleic acid. The PDB is a key resource in the areas ofstructural biology, structural genomics. Most major scientificjournals, and some funding agencies, such as the NIH in theUSA, now require scientists to submit their structure data tothe PDB. If the contents of the PDB are thought of as primarydata, there are hundreds of derived databases that categorizethe data differently. For example, both SCOP and CATHcategorize structure according to type of structure andassumed evolutionary relations; GO categorize structuresbased on genes. In this paper, we will describe how toovercome the limitations of PDB format.


2003 ◽  
Vol 31 (1) ◽  
pp. 489-491 ◽  
Author(s):  
J. Westbrook

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