Protein solubility: sequence based prediction and experimental verification
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چکیده
منابع مشابه
Protein solubility: sequence based prediction and experimental verification
MOTIVATION Obtaining soluble proteins in sufficient concentrations is a recurring limiting factor in various experimental studies. Solubility is an individual trait of proteins which, under a given set of experimental conditions, is determined by their amino acid sequence. Accurate theoretical prediction of solubility from sequence is instrumental for setting priorities on targets in large-scal...
متن کاملSequence-based prediction of protein solubility.
In order to investigate the relationship between the thermodynamics and kinetics of protein aggregation, we compared the solubility of proteins with their aggregation rates. We found a significant correlation between these two quantities by considering a database of protein solubility values measured using an in vitro reconstituted translation system containing about 70% of Escherichia coli pro...
متن کاملSOLpro: accurate sequence-based prediction of protein solubility
MOTIVATION Protein insolubility is a major obstacle for many experimental studies. A sequence-based prediction method able to accurately predict the propensity of a protein to be soluble on overexpression could be used, for instance, to prioritize targets in large-scale proteomics projects and to identify mutations likely to increase the solubility of insoluble proteins. RESULTS Here, we firs...
متن کاملSequence-based prediction of RNA-protein interactions
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiv CHAPTER 1. OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Dissertation Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Experimental Methods to Identify RNA-Protein Interactions . . . . . . . . . . 4 1.3 Computational Prediction of RNA-Protein Interfaces ....
متن کاملSequence-based prediction of protein domains.
Guessing the boundaries of structural domains has been an important and challenging problem in experimental and computational structural biology. Predictions were based on intuition, biochemical properties, statistics, sequence homology and other aspects of predicted protein structure. Here, we introduced CHOPnet, a de novo method that predicts structural domains in the absence of homology to k...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2006
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btl623