SOLpro: accurate sequence-based prediction of protein solubility.
about
Exploring sequence characteristics related to high-level production of secreted proteins in Aspergillus nigerA method to predict edge strands in beta-sheets from protein sequencesPlant-PrAS: a database of physicochemical and structural properties and novel functional regions in plant proteomes.AGGRESCAN3D (A3D): server for prediction of aggregation properties of protein structures.A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced DataHigh-throughput prediction of protein antigenicity using protein microarray data.Alga-PrAS (Algal Protein Annotation Suite): A Database of Comprehensive Annotation in Algal ProteomesSweeping away protein aggregation with entropic bristles: intrinsically disordered protein fusions enhance soluble expression.Sequence-based classification using discriminatory motif feature selection.Enhanced expression of codon optimized Mycobacterium avium subsp. paratuberculosis antigens in Lactobacillus salivarius.A histone arginine methylation localizes to nucleosomes in satellite II and III DNA sequences in the human genomePrediction and analysis of protein solubility using a novel scoring card method with dipeptide compositionAcalPred: a sequence-based tool for discriminating between acidic and alkaline enzymes.SPiCE: a web-based tool for sequence-based protein classification and explorationA review of machine learning methods to predict the solubility of overexpressed recombinant proteins in Escherichia coliLarge-scale experimental studies show unexpected amino acid effects on protein expression and solubility in vivo in E. coli.An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.Periscope: quantitative prediction of soluble protein expression in the periplasm of Escherichia coli.Bacterial expression strategies for several Sus scrofa diacylglycerol kinase alpha constructs: solubility challenges.Discrimination of soluble and aggregation-prone proteins based on sequence information.Dynamic transcriptional response of Escherichia coli to inclusion body formation.Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction.Towards more accurate prediction of protein folding rates: a review of the existing Web-based bioinformatics approaches.Computational approaches to selecting and optimising targets for structural biology.Machine learning in computational biology to accelerate high-throughput protein expression.Protein-Sol: A web tool for predicting protein solubility from sequence.Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity.Rational identification of aggregation hotspots based on secondary structure and amino acid hydrophobicity.Comparative Genomics Reveals Two Major Bouts of Gene Retroposition Coinciding with Crucial Periods of Symbiodinium EvolutionPhylogenetic and biological significance of evolutionary elements from metazoan mitochondrial genomes.ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coliPaRSnIP: Sequence-Based Protein Solubility Prediction using Gradient Boosting Machine.PROSO II--a new method for protein solubility prediction.Soluble expression of proteins correlates with a lack of positively-charged surface.SODA: prediction of protein solubility from disorder and aggregation propensity.A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.ESPRESSO: a system for estimating protein expression and solubility in protein expression systems.Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli.Subtractive proteomics to identify novel drug targets and reverse vaccinology for the development of chimeric vaccine against Acinetobacter baumannii.
P2860
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P2860
SOLpro: accurate sequence-based prediction of protein solubility.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
SOLpro: accurate sequence-based prediction of protein solubility.
@en
SOLpro: accurate sequence-based prediction of protein solubility.
@nl
type
label
SOLpro: accurate sequence-based prediction of protein solubility.
@en
SOLpro: accurate sequence-based prediction of protein solubility.
@nl
prefLabel
SOLpro: accurate sequence-based prediction of protein solubility.
@en
SOLpro: accurate sequence-based prediction of protein solubility.
@nl
P2860
P356
P1433
P1476
SOLpro: accurate sequence-based prediction of protein solubility.
@en
P2093
Christophe N Magnan
Pierre Baldi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP386
P407
P50
P577
2009-06-23T00:00:00Z