Dataset Information
The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities.
Ontology highlight
ABSTRACT: Motivation
The recent shift towards high-throughput screening is posing new challenges for the interpretation of experimental results. Here we propose the cleverSuite approach for large-scale characterization of protein groups.Description
The central part of the cleverSuite is the cleverMachine (CM), an algorithm that performs statistics on protein sequences by comparing their physico-chemical propensities. The second element is called cleverClassifier and builds on top of the models generated by the CM to allow classification of new datasets.Results
We applied the cleverSuite to predict secondary structure properties, solubility, chaperone requirements and RNA-binding abilities. Using cross-validation and independent datasets, the cleverSuite reproduces experimental findings with great accuracy and provides models that can be used for future investigations.Availability
The intuitive interface for dataset exploration, analysis and prediction is available at http://s.tartaglialab.com/clever_suite.
SUBMITTER: Klus P
PROVIDER: S-EPMC4029037 | biostudies-literature | 2014 Jun
REPOSITORIES: biostudies-literature
Publications
The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities.
Bioinformatics (Oxford, England) 20140203 11
<h4>Motivation</h4>The recent shift towards high-throughput screening is posing new challenges for the interpretation of experimental results. Here we propose the cleverSuite approach for large-scale characterization of protein groups.<h4>Description</h4>The central part of the cleverSuite is the cleverMachine (CM), an algorithm that performs statistics on protein sequences by comparing their physico-chemical propensities. The second element is called cleverClassifier and builds on top of the mo ...[more]
