SVMCRYS: an SVM approach for the prediction of protein crystallization propensity from protein sequence.

Improving the chances of successful protein structure determination with a random forest classifier. Acta Crystallogr D Biol Crystallogr (2014) 1.50

Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Nucleic Acids Res (2011) 1.04

Structural genomics plucks high-hanging membrane proteins. Curr Opin Struct Biol (2012) 0.98

Sequence-based prediction of protein crystallization, purification and production propensity. Bioinformatics (2011) 0.95

SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs. PLoS One (2013) 0.90

Protein stability: a crystallographer's perspective. Acta Crystallogr F Struct Biol Commun (2016) 0.81

PredPPCrys: accurate prediction of sequence cloning, protein production, purification and crystallization propensity from protein sequences using multi-step heterogeneous feature fusion and selection. PLoS One (2014) 0.81

Covering complete proteomes with X-ray structures: a current snapshot. Acta Crystallogr D Biol Crystallogr (2014) 0.78

Crysalis: an integrated server for computational analysis and design of protein crystallization. Sci Rep (2016) 0.77

Analysis of crystallization data in the Protein Data Bank. Acta Crystallogr F Struct Biol Commun (2015) 0.76

Predicting Crystallization Propensity of Proteins from Arabidopsis Thaliana. Biol Proced Online (2015) 0.75

Computational crystallization. Arch Biochem Biophys (2016) 0.75

PASS2: an automated database of protein alignments organised as structural superfamilies. BMC Bioinformatics (2004) 1.37

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. J Theor Biol (2010) 1.27

Gene selection algorithms for microarray data based on least squares support vector machine. BMC Bioinformatics (2006) 1.21

EcmPred: prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection. J Theor Biol (2012) 1.08

SCANMOT: searching for similar sequences using a simultaneous scan of multiple sequence motifs. Nucleic Acids Res (2005) 1.03

MegaMotifBase: a database of structural motifs in protein families and superfamilies. Nucleic Acids Res (2007) 1.02

DNA-Prot: identification of DNA binding proteins from protein sequence information using random forest. J Biomol Struct Dyn (2009) 0.97

Prediction of apoptosis protein locations with genetic algorithms and support vector machines through a new mode of pseudo amino acid composition. Protein Pept Lett (2010) 0.95

Identification of catalytic residues from protein structure using support vector machine with sequence and structural features. Biochem Biophys Res Commun (2008) 0.92

3DSwap: curated knowledgebase of proteins involved in 3D domain swapping. Database (Oxford) (2011) 0.90

SMotif: a server for structural motifs in proteins. Bioinformatics (2007) 0.89

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. BMC Bioinformatics (2007) 0.89

Identification and analysis of red sea mangrove (Avicennia marina) microRNAs by high-throughput sequencing and their association with stress responses. PLoS One (2013) 0.88

3dswap-pred: prediction of 3D domain swapping from protein sequence using Random Forest approach. Protein Pept Lett (2011) 0.88

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities. J Theor Biol (2008) 0.85

BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection. BMC Bioinformatics (2011) 0.84

SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes. Biochem Biophys Res Commun (2009) 0.82

SSToSS--sequence-structural templates of single-member superfamilies. In Silico Biol (2006) 0.82

An approach for classification of highly imbalanced data using weighting and undersampling. Amino Acids (2010) 0.81

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine. Amino Acids (2010) 0.81

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates. J Theor Biol (2009) 0.79

Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach. Bioinform Biol Insights (2010) 0.79

Robust growing neural gas algorithm with application in cluster analysis. Neural Netw (2004) 0.78

Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. Bioinformatics (2008) 0.78

Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers. Biochem Biophys Res Commun (2009) 0.76

SMpred: a support vector machine approach to identify structural motifs in protein structure without using evolutionary information. J Biomol Struct Dyn (2010) 0.76

Hierarchical overlapped SOM's for pattern classification. IEEE Trans Neural Netw (1999) 0.75

Structural pattern recognition using genetic algorithms with specialized operators. IEEE Trans Syst Man Cybern B Cybern (2003) 0.75

Neural network based temporal video segmentation. Int J Neural Syst (2002) 0.75

Molecular cloning, sequencing and structural studies of granulocyte-macrophage colony-stimulating factor (GM-CSF) from Indian water buffalo (Bubalus bubalis). Int J Immunogenet (2013) 0.75

Potential application of network descriptions for understanding conformational changes and protonation states of ABC transporters. Curr Pharm Des (2013) 0.75