scholarly journals Crystallographically correct but confusing presentation of structural models deposited in the Protein Data Bank

2018 ◽  
Vol 74 (9) ◽  
pp. 939-945
Author(s):  
Zbigniew Dauter ◽  
Alexander Wlodawer

The Protein Data Bank (PDB) constitutes a collection of the available atomic models of macromolecules and their complexes obtained by various methods used in structural biology, but chiefly by crystallography. It is an indispensable resource for all branches of science that deal with the structures of biologically active molecules, such as structural biology, bioinformatics, the design of novel drugs etc. Since not all users of the PDB are familiar with the methods of crystallography, it is important to present the results of crystallographic analyses in a form that is easy to interpret by nonspecialists. It is advisable during the submission of structures to the PDB to pay attention to the optimal placement of molecules within the crystal unit cell, to the correct representation of oligomeric assemblies and to the proper selection of the space-group symmetry. Examples of significant departures from these principles illustrate the potential for the misinterpretation of such suboptimally presented crystal structures.

IUCrJ ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 630-638 ◽  
Author(s):  
Helen M. Berman ◽  
Brinda Vallat ◽  
Catherine L. Lawson

The Protein Data Bank (PDB) has grown from a small data resource for crystallographers to a worldwide resource serving structural biology. The history of the growth of the PDB and the role that the community has played in developing standards and policies are described. This article also illustrates how other biophysics communities are collaborating with the worldwide PDB to create a network of interoperating data resources. This network will expand the capabilities of structural biology and enable the determination and archiving of increasingly complex structures.


1992 ◽  
Vol 14 (2) ◽  
pp. 265-276 ◽  
Author(s):  
Jorma Boberg ◽  
Tapio Salakoski ◽  
Mauno Vihinen

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


2006 ◽  
Vol 20 (4) ◽  
Author(s):  
Shuchismita Dutta ◽  
Jeff Milton ◽  
Christine Zardecki ◽  
Helen M Berman

2009 ◽  
Vol 43 (1) ◽  
pp. 200-202 ◽  
Author(s):  
S. E. Saravanan ◽  
R. Karthi ◽  
K. Sathish ◽  
K. Kokila ◽  
R. Sabarinathan ◽  
...  

MLDB (macromolecule ligand database) is a knowledgebase containing ligands co-crystallized with the three-dimensional structures available in the Protein Data Bank. The proposed knowledgebase serves as an open resource for the analysis and visualization of all ligands and their interactions with macromolecular structures. MLDB can be used to search ligands, and their interactions can be visualized both in text and graphical formats. MLDB will be updated at regular intervals (weekly) with automated Perl scripts. The knowledgebase is intended to serve the scientific community working in the areas of molecular and structural biology. It is available free to users around the clock and can be accessed at http://dicsoft2.physics.iisc.ernet.in/mldb/.


Database ◽  
2018 ◽  
Vol 2018 ◽  
Author(s):  
Jasmine Y Young ◽  
John D Westbrook ◽  
Zukang Feng ◽  
Ezra Peisach ◽  
Irina Persikova ◽  
...  

2014 ◽  
Vol 43 (D1) ◽  
pp. D345-D356 ◽  
Author(s):  
Peter W. Rose ◽  
Andreas Prlić ◽  
Chunxiao Bi ◽  
Wolfgang F. Bluhm ◽  
Cole H. Christie ◽  
...  

2020 ◽  
Vol 36 (9) ◽  
pp. 2750-2754 ◽  
Author(s):  
Sam M Ireland ◽  
Andrew C R Martin

Abstract Summary Structural biology relies on specific file formats to convey information about macromolecular structures. Traditionally this has been the PDB format, but increasingly newer formats, such as PDBML, mmCIF and MMTF are being used. Here we present atomium, a modern, lightweight, Python library for parsing, manipulating and saving PDB, mmCIF and MMTF file formats. In addition, we provide a web service, pdb2json, which uses atomium to give a consistent JSON representation to the entire Protein Data Bank. Availability and implementation atomium is implemented in Python and its performance is equivalent to the existing library BioPython. However, it has significant advantages in features and API design. atomium is available from atomium.bioinf.org.uk and pdb2json can be accessed at pdb2json.bioinf.org.uk Supplementary information Supplementary data are available at Bioinformatics online.


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