CyanoPhyChe: a database for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins

PLoS One. 2012;7(11):e49425. doi: 10.1371/journal.pone.0049425. Epub 2012 Nov 21.

Abstract

CyanoPhyChe is a user friendly database that one can browse through for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins. We downloaded all the protein sequences from the cyanobacterial genome database for calculating the physico-chemical properties, such as molecular weight, net charge of protein, isoelectric point, molar extinction coefficient, canonical variable for solubility, grand average hydropathy, aliphatic index, and number of charged residues. Based on the physico-chemical properties, we provide the polarity, structural stability and probability of a protein entering in to an inclusion body (PEPIB). We used the data generated on physico-chemical properties, structure and biochemical pathway information of all cyanobacterial proteins to construct CyanoPhyChe. The data can be used for optimizing methods of expression and characterization of cyanobacterial proteins. Moreover, the 'Search' and data export options provided will be useful for proteome analysis. Secondary structure was predicted for all the cyanobacterial proteins using PSIPRED tool and the data generated is made accessible to researchers working on cyanobacteria. In addition, external links are provided to biological databases such as PDB and KEGG for molecular structure and biochemical pathway information, respectively. External links are also provided to different cyanobacterial databases. CyanoPhyChe can be accessed from the following URL: http://bif.uohyd.ac.in/cpc.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Amino Acids / chemistry
  • Chemistry, Physical / methods*
  • Cyanobacteria / metabolism*
  • DNA / chemistry
  • Databases, Protein
  • Electrophoresis, Polyacrylamide Gel
  • Escherichia coli / metabolism
  • Genome, Bacterial
  • Hydrogen-Ion Concentration
  • Inclusion Bodies / metabolism
  • Internet
  • Molecular Weight
  • Plasmids / metabolism
  • Protein Structure, Secondary
  • Sequence Analysis, Protein / methods
  • Synechocystis / metabolism
  • User-Computer Interface

Substances

  • Amino Acids
  • DNA

Grants and funding

This work was supported by a grant from the Department of Biotechnology (DBT), Project No: BT/PR13616/BRB/10/774/2010 to JSSP. This study utilized the DBT - sponsored Bioinformatics Infrastructure Facility (BIF), to School of Life Sciences, University of Hyderabad. The funders had no role in study design, data collection, and analysis, decision to publish or preparation of the manuscript.