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Oxford University Press (OUP), Bioinformatics, 20(30), p. 2975-2977

DOI: 10.1093/bioinformatics/btu420

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ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli

Journal article published in 2014 by Federico Agostini, Davide Cirillo, Carmen Maria Livi, Riccardo Delli Ponti, Riccardo Delli Ponti, Gian Gaetano Tartaglia ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Here we introduce ccSOL omics, a webserver for large-scale calculations of protein solubility. Our method allows (i) prote-ome-wide predictions; (ii) identification of soluble fragments within each sequences; (iii) exhaustive single-point mutation analysis. Results: Using coil/disorder, hydrophobicity, hydrophilicity, -sheet and -helix propensities, we built a predictor of protein solubility. Our approach shows an accuracy of 79% on the training set (36 990 Target Track entries). Validation on three independent sets indicates that ccSOL omics discriminates soluble and insoluble proteins with an accuracy of 74% on 31 760 proteins sharing 530% sequence similarity. Availability and implementation: ccSOL omics can be freely ac-cessed on the web at