Title:
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ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli
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Author:
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Agostini, Federico, 1985-; Cirillo, Davide; Livi, Carmen Maria; Ponti, Riccardo delli; Tartaglia, Gian Gaetano
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Abstract:
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SUMMARY: Here we introduce ccSOL omics, a webserver for large-scale calculations of protein solubility. Our method allows (i) proteome-wide predictions; (ii) identification of soluble fragments within each sequences; (iii) exhaustive single-point mutation analysis. RESULTS: Using coil/disorder, hydrophobicity, hydrophilicity, β-sheet and α-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 <30% sequence similarity. AVAILABILITY AND IMPLEMENTATION: ccSOL omics can be freely accessed on the web at http://s.tartaglialab.com/page/ccsol_group. Documentation and tutorial are available at http://s.tartaglialab.com/static_files/shared/tutorial_ccsol_omics.html. CONTACT: gian.tartaglia@crg.es/nSUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
Abstract:
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The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013), through the European Research Council,under grant agreement RIBOMYLOME 309545, and from the Spanish Ministry of Economy and Competitiveness (SAF2011-26211). We also acknowledge support from the Spanish Ministry of Economy and Competitiveness, ‘Centro de Excelencia Severo Ochoa 2013–2017’ (SEV-2012-0208) |
Subject(s):
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-Escheríchia coli -Proteïnes -Expressió gènica -Proteòmica |
Rights:
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© 2014 Federico Agostini et al. Published by Oxford University Press. This is an Open Access article distributed under the terms of a Creative Commons Attribution License
http://creativecommons.org/licenses/by/3.0/ |
Document type:
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Article Article - Published version |
Published by:
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Oxford University Press
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