Literature DB >> 9730920

Comprehensive, comprehensible, distributed and intelligent databases: current status.

D Frishman1, K Heumann, A Lesk, H W Mewes.   

Abstract

MOTIVATION: It is only a matter of time until a user will see not many but one integrated database of information for molecular biology. Is this true? Is it a good thing? Why will it happen? Where are we now? What developments are fostering and what developments are impeding progress towards this end? SUPPLEMENTARY INFORMATION: A list of WWW resources devoted to database issues in molecular biology is available at http://www.mips.biochem.mpg.de CONTACT: frishman@mips.biochem.mpg.de

Mesh：

Year:  1998        PMID： 9730920     DOI： 10.1093/bioinformatics/14.7.551

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  8 in total

1.  PartsList: a web-based system for dynamically ranking protein folds based on disparate attributes, including whole-genome expression and interaction information.

Authors:  J Qian; B Stenger; C A Wilson; J Lin; R Jansen; S A Teichmann; J Park; W G Krebs; H Yu; V Alexandrov; N Echols; M Gerstein
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

2.  Coordinate-independent mapping of structural and functional data by objective relational transformation (ORT).

Authors:  K E Stephan; K Zilles; R Kötter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-01-29       Impact factor: 6.237

3.  Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins.

Authors:  R Jansen; M Gerstein
Journal:  Nucleic Acids Res       Date:  2000-03-15       Impact factor: 16.971

4.  Human immunodeficiency virus type 1 reverse transcriptase and protease mutation search engine for queries.

Authors:  R W Shafer; D R Jung; B J Betts
Journal:  Nat Med       Date:  2000-11       Impact factor: 53.440

5.  SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.

Authors:  P Bertone; Y Kluger; N Lan; D Zheng; D Christendat; A Yee; A M Edwards; C H Arrowsmith; G T Montelione; M Gerstein
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

6.  Secure web book to store structural genomics research data.

Authors:  Babu A Manjasetty; Klaus Höppner; Uwe Mueller; Udo Heinemann
Journal:  J Struct Funct Genomics       Date:  2003

7.  An FPT approach for predicting protein localization from yeast genomic data.

Authors:  Jin Wang; Chunhe Li; Erkang Wang; Xidi Wang
Journal:  PLoS One       Date:  2011-01-19       Impact factor: 3.240

8.  Advancing post-genome data and system integration through machine learning.

Authors:  Francisco Azuaje
Journal:  Comp Funct Genomics       Date:  2002
  8 in total

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