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New tools and functions in data‐out activities at Protein Data Bank Japan (PDBj)
Author(s) -
Kinjo Akira R.,
Bekker GertJan,
Wako Hiroshi,
Endo Shigeru,
Tsuchiya Yuko,
Sato Hiromu,
Nishi Hafumi,
Kinoshita Kengo,
Suzuki Hirofumi,
Kawabata Takeshi,
Yokochi Masashi,
Iwata Takeshi,
Kobayashi Naohiro,
Fujiwara Toshimichi,
Kurisu Genji,
Nakamura Haruki
Publication year - 2018
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1002/pro.3273
Subject(s) - protein data bank , protein data bank (rcsb pdb) , data bank , similarity (geometry) , computer science , biological data , range (aeronautics) , data mining , information retrieval , computational biology , bioinformatics , protein structure , chemistry , biology , engineering , biochemistry , telecommunications , artificial intelligence , image (mathematics) , aerospace engineering
The Protein Data Bank Japan (PDBj), a member of the worldwide Protein Data Bank (wwPDB), accepts and processes the deposited data of experimentally determined biological macromolecular structures. In addition to archiving the PDB data in collaboration with the other wwPDB partners, PDBj also provides a wide range of original and unique services and tools, which are continuously improved and updated. Here, we report the new RDB PDBj Mine 2, the WebGL molecular viewer Molmil, the ProMode‐Elastic server for normal mode analysis, a virtual reality system for the eF‐site protein electrostatic molecular surfaces, the extensions of the Omokage search for molecular shape similarity, and the integration of PDBj and BMRB searches.