{"id":"doi:10.1093/bioinformatics/btx345","kind":"article","title":"Protein-Sol: a web tool for predicting protein solubility from sequence","authors":["Hebditch M","Carballo-Amador MA","Charonis S","Curtis R","Warwicker J"],"author_count":5,"year":2017,"published":"2017-10-01","venue":"Bioinformatics (Oxford, England)","cited_by":641,"doi":"10.1093/bioinformatics/btx345","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1093/bioinformatics/btx345","archive_url":"https://space-kitty.com/papers/doi:10.1093/bioinformatics/btx345","updated":null,"pmid":"28575391","pmcid":"PMC5870856","openalex_id":null,"pdf_url":"https://europepmc.org/articles/PMC5870856/pdf","abstract":"Motivation Protein solubility is an important property in industrial and therapeutic applications. Prediction is a challenge, despite a growing understanding of the relevant physicochemical properties. Results Protein-Sol is a web server for predicting protein solubility. Using available data for Escherichia coli protein solubility in a cell-free expression system, 35 sequence-based properties are calculated. Feature weights are determined from separation of low and high solubility subsets. The model returns a predicted solubility and an indication of the features which deviate most from average values. Two other properties are profiled in windowed calculation along the sequence: fold propensity, and net segment charge. The utility of these additional features is demonstrated with the example of thioredoxin. Availability and implementation The Protein-Sol webserver is available at http://protein-sol.manchester.ac.uk. Contact jim.warwicker@manchester.ac.uk.","abstract_license":"CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)","license":"CC-BY","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":[],"details":null,"provenance":"europepmc","attribution":"Abstract of \"Protein-Sol: a web tool for predicting protein solubility from sequence\" by Hebditch M, Carballo-Amador MA, Charonis S et al., https://doi.org/10.1093/bioinformatics/btx345, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"synthetic-biology","name":"Synthetic Biology & Genome Engineering","domain_slug":"biotech"}],"cited_in_dossiers":[]}