About: Solubility-Weighted Index: fast and accurate prediction of protein solubility

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Solubility-Weighted Index: fast and accurate prediction of protein solubility
Creator	Lim, Chun Bhandari, Bikash Gardner, Paul
source	BioRxiv
abstract	Motivation Recombinant protein production is a widely used technique in the biotechnology and biomedical industries, yet only a quarter of target proteins are soluble and can therefore be purified. Results We have discovered that global structural flexibility, which can be modeled by normalised B-factors, accurately predicts the solubility of 12,216 recombinant proteins expressed in Escherichia coli. We have optimised B-factors, and derived a new set of values for solubility scoring that further improves prediction accuracy. We call this new predictor the ‘Solubility-Weighted Index’ (SWI). Importantly, SWI outperforms many existing protein solubility prediction tools. Furthermore, we have developed ‘SoDoPE’ (Soluble Domain for Protein Expression), a web interface that allows users to choose a protein region of interest for predicting and maximising both protein expression and solubility. Availability The SoDoPE web server and source code are freely available at https://tisigner.com/sodope and https://github.com/Gardner-BinfLab/TISIGNER-ReactJS, respectively. The code and data for reproducing our analysis can be found at https://github.com/Gardner-BinfLab/SoDoPE_paper2020.
has issue date	2020-03-26(xsd:dateTime)
bibo:doi	10.1101/2020.02.15.951012
has license	biorxiv
sha1sum (hex)	d5f28f97a1dc83847bae3612f374058ad1d8ed8f
schema:url	https://doi.org/10.1101/2020.02.15.951012
resource representing a document's title	Solubility-Weighted Index: fast and accurate prediction of protein solubility
schema:publication	bioRxiv
resource representing a document's body	covid:d5f28f97a1dc83847bae3612f374058ad1d8ed8f#body_text
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