Affiliations 

  • 1 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia. Electronic address: hnarjeskhatoon2@utm.live.my
  • 2 School of Biological Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia; Advanced Medical and Dental Institute, Universiti Sains Malaysia, 11800 Penang, Malaysia; Centre for Chemical Biology, Universiti Sains Malaysia, 11800 Penang, Malaysia
  • 3 Soft Computing Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
  • 4 ViCube Lab, Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
Protein Expr. Purif., 2014 Mar;95:92-5.
PMID: 24333540 DOI: 10.1016/j.pep.2013.11.014

Abstract

Recombinant protein production is a significant biotechnological process as it allows researchers to produce a specific protein in desired quantities. Escherichia coli (E. coli) is the most popular heterologous expression host for the production of recombinant proteins due to its advantages such as low cost, high-productivity, well-characterized genetics, simple growth requirements and rapid growth. There are a number of factors that influence the expression level of a recombinant protein in E. coli which are the gene to be expressed, the expression vector, the expression host, and the culture condition. The major motivation to develop our database, EcoliOverExpressionDB, is to provide a means for researchers to quickly locate key factors in the overexpression of certain proteins. Such information would be a useful guide for the overexpression of similar proteins in E. coli. To the best of the present researchers' knowledge, in general and specifically in E. coli, EcoliOverExpressionDB is the first database of recombinant protein expression experiments which gathers the influential parameters on protein overexpression and the results in one place.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.