title: Predicting the solubility of recombinant proteins in Escherichia coli.
abstract: We describe a statistical model that uses binomial logistic regression for predicting the solubility of heterologous proteins expressed in E. coli. The model is based on a set of proteins reported to have been expressed in E. coli in either soluble or insoluble form. The 22 parameters used in the final model based on proteins' amino acid composition are discussed. The overall accuracy of the model developed is 94%. The way to use this model on the website http://www.ou.edu/ for the prediction of protein solubility is explained.
authors.affiliation: School of Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, OK, USA, rharrison@ou.edu.
authors.forename: Roger G
authors.initials: RG
authors.lastname: Harrison
authors.forename: Miguel J
authors.initials: MJ
authors.lastname: Bagajewicz
mesh_terms: D000818:Animals; D004926:Escherichia coli / Q000378:metabolism*; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D011994:Recombinant Proteins / Q000378:metabolism*; D012995:Solubility
chemical_list: D011994:Recombinant Proteins