Literature DB >> 22934944

An overview of computational life science databases & exchange formats of relevance to chemical biology research.

Aaron Smalter Hall1, Yunfeng Shan, Gerald Lushington, Mahesh Visvanathan.   

Abstract

Databases and exchange formats describing biological entities such as chemicals and proteins, along with their relationships, are a critical component of research in life sciences disciplines, including chemical biology wherein small information about small molecule properties converges with cellular and molecular biology. Databases for storing biological entities are growing not only in size, but also in type, with many similarities between them and often subtle differences. The data formats available to describe and exchange these entities are numerous as well. In general, each format is optimized for a particular purpose or database, and hence some understanding of these formats is required when choosing one for research purposes. This paper reviews a selection of different databases and data formats with the goal of summarizing their purposes, features, and limitations. Databases are reviewed under the categories of 1) protein interactions, 2) metabolic pathways, 3) chemical interactions, and 4) drug discovery. Representation formats will be discussed according to those describing chemical structures, and those describing genomic/proteomic entities.

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Mesh:

Year:  2013        PMID: 22934944      PMCID: PMC4782780          DOI: 10.2174/1386207311316030004

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  25 in total

1.  On the importance of standardisation in life sciences.

Authors:  A Brazma
Journal:  Bioinformatics       Date:  2001-02       Impact factor: 6.937

2.  The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks.

Authors:  Sudhir Sivakumaran; Sridhar Hariharaputran; Jyoti Mishra; Upinder S Bhalla
Journal:  Bioinformatics       Date:  2003-02-12       Impact factor: 6.937

3.  The KEGG resource for deciphering the genome.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Yasushi Okuno; Masahiro Hattori
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 4.  CellML: its future, present and past.

Authors:  Catherine M Lloyd; Matt D B Halstead; Poul F Nielsen
Journal:  Prog Biophys Mol Biol       Date:  2004 Jun-Jul       Impact factor: 3.667

5.  [KiBank: a database for computer-aided drug design based on protein-chemical interaction analysis].

Authors:  Masahiro Aizawa; Kenji Onodera; Junwei Zhang; Shinji Amari; Yoshio Iwasawa; Tatsuya Nakano; Kotoko Nakata
Journal:  Yakugaku Zasshi       Date:  2004-09       Impact factor: 0.302

6.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.

Authors:  Ioannis Xenarios; Lukasz Salwínski; Xiaoqun Joyce Duan; Patrick Higney; Sul-Min Kim; David Eisenberg
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

7.  Facilities for exploring molecular biology databases on the Web: a comparative study.

Authors:  V M Markowitz; I M Chen; A S Kosky; E Szeto
Journal:  Pac Symp Biocomput       Date:  1997

8.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

9.  BIND--a data specification for storing and describing biomolecular interactions, molecular complexes and pathways.

Authors:  G D Bader; C W Hogue
Journal:  Bioinformatics       Date:  2000-05       Impact factor: 6.937

10.  CYGD: the Comprehensive Yeast Genome Database.

Authors:  U Güldener; M Münsterkötter; G Kastenmüller; N Strack; J van Helden; C Lemer; J Richelles; S J Wodak; J García-Martínez; J E Pérez-Ortín; H Michael; A Kaps; E Talla; B Dujon; B André; J L Souciet; J De Montigny; E Bon; C Gaillardin; H W Mewes
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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