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ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank
Author(s) -
Piyush Agrawal,
Sumeet Patiyal,
Rajesh Kumar,
Vinod Kumar,
Harinder Singh,
Pawan Kumar Raghav,
Gajendra P. S. Raghava
Publication year - 2018
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/bay142
Subject(s) - computer science , database , information retrieval , world wide web , function (biology) , protein data bank , data mining , protein structure , evolutionary biology , biology , physics , nuclear magnetic resonance
ccPDB 2.0 (http://webs.iiitd.edu.in/raghava/ccpdb) is an updated version of the manually curated database ccPDB that maintains datasets required for developing methods to predict the structure and function of proteins. The number of datasets compiled from literature increased from 45 to 141 in ccPDB 2.0. Similarly, the number of protein structures used for creating datasets also increased from ~74 000 to ~137 000 (PDB March 2018 release). ccPDB 2.0 provides the same web services and flexible tools which were present in the previous version of the database. In the updated version, links of the number of methods developed in the past few years have also been incorporated. This updated resource is built on responsive templates which is compatible with smartphones (mobile, iPhone, iPad, tablets etc.) and large screen gadgets. In summary, ccPDB 2.0 is a user-friendly web-based platform that provides comprehensive as well as updated information about datasets.

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