Literature DB >> 12520060

PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB) in 2003.

Tamotsu Noguchi1, Yutaka Akiyama.   

Abstract

PDB-REPRDB is a database of representative protein chains from the Protein Data Bank (PDB). Started at the Real World Computing Partnership (RWCP) in August 1997, it developed to the present system of PDB-REPRDB. In April 2001, the system was moved to the Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST) (http://www.cbrc.jp/); it is available at http://www.cbrc.jp/pdbreprdb/. The current database includes 33 368 protein chains from 16 682 PDB entries (1 September, 2002), from which are excluded (a) DNA and RNA data, (b) theoretically modeled data, (c) short chains (1<40 residues), or (d) data with non-standard amino acid residues at all residues. The number of entries including membrane protein structures in the PDB has increased rapidly with determination of numbers of membrane protein structures because of improved X-ray crystallography, NMR, and electron microscopic experimental techniques. Since many protein structure studies must address globular and membrane proteins separately, this new elimination factor, which excludes membrane protein chains, is introduced in the PDB-REPRDB system. Moreover, the PDB-REPRDB system for membrane protein chains begins at the same URL. The current membrane database includes 551 protein chains, including membrane domains in the SCOP database of release 1.59 (15 May, 2002).

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Year:  2003        PMID: 12520060      PMCID: PMC165469          DOI: 10.1093/nar/gkg022

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  7 in total

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Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB).

Authors:  T Noguchi; H Matsuda; Y Akiyama
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

3.  SCOP database in 2002: refinements accommodate structural genomics.

Authors:  Loredana Lo Conte; Steven E Brenner; Tim J P Hubbard; Cyrus Chothia; Alexey G Murzin
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  LIGAND: database of chemical compounds and reactions in biological pathways.

Authors:  Susumu Goto; Yasushi Okuno; Masahiro Hattori; Takaaki Nishioka; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

5.  Quick selection of representative protein chain sets based on customizable requirements.

Authors:  T Noguchi; K Onizuka; M Ando; H Matsuda; Y Akiyama
Journal:  Bioinformatics       Date:  2000-06       Impact factor: 6.937

6.  SCOP: a structural classification of proteins database for the investigation of sequences and structures.

Authors:  A G Murzin; S E Brenner; T Hubbard; C Chothia
Journal:  J Mol Biol       Date:  1995-04-07       Impact factor: 5.469

7.  Searching for amino acid sequence motifs among enzymes: the Enzyme-Reaction Database.

Authors:  M Suyama; A Ogiwara; T Nishioka; J Oda
Journal:  Comput Appl Biosci       Date:  1993-02
  7 in total
  27 in total

1.  Mining frequent patterns in protein structures: a study of protease families.

Authors:  Shann-Ching Chen; Ivet Bahar
Journal:  Bioinformatics       Date:  2004-08-04       Impact factor: 6.937

2.  Prediction of inter-residue contact clusters from hydrophobic cores.

Authors:  Peng Chen; Chunmei Liu; Legand Burge; Mohammad Mahmood; William Southerland; Clay Gloster
Journal:  Int J Data Min Bioinform       Date:  2008-12-11       Impact factor: 0.667

3.  The N-terminal to C-terminal motif in protein folding and function.

Authors:  Mallela M G Krishna; S Walter Englander
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-18       Impact factor: 11.205

4.  Translationally optimal codons associate with structurally sensitive sites in proteins.

Authors:  Tong Zhou; Mason Weems; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2009-04-06       Impact factor: 16.240

5.  Protein elastic network models and the ranges of cooperativity.

Authors:  Lei Yang; Guang Song; Robert L Jernigan
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-14       Impact factor: 11.205

6.  A reduced amino acid alphabet for understanding and designing protein adaptation to mutation.

Authors:  C Etchebest; C Benros; A Bornot; A-C Camproux; A G de Brevern
Journal:  Eur Biophys J       Date:  2007-06-13       Impact factor: 1.733

7.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

8.  Prediction of protein long-range contacts using an ensemble of genetic algorithm classifiers with sequence profile centers.

Authors:  Peng Chen; Jinyan Li
Journal:  BMC Struct Biol       Date:  2010-05-17

9.  Intrinsically disordered regions may lower the hydration free energy in proteins: a case study of nudix hydrolase in the bacterium Deinococcus radiodurans.

Authors:  Omar Awile; Anita Krisko; Ivo F Sbalzarini; Bojan Zagrovic
Journal:  PLoS Comput Biol       Date:  2010-07-15       Impact factor: 4.475

10.  Prodepth: predict residue depth by support vector regression approach from protein sequences only.

Authors:  Jiangning Song; Hao Tan; Khalid Mahmood; Ruby H P Law; Ashley M Buckle; Geoffrey I Webb; Tatsuya Akutsu; James C Whisstock
Journal:  PLoS One       Date:  2009-09-17       Impact factor: 3.240

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