Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types.

eccCL: parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinformatics (2017) 0.75

Prediction of protein cellular attributes using pseudo-amino acid composition. Proteins (2001) 4.64

APD2: the updated antimicrobial peptide database and its application in peptide design. Nucleic Acids Res (2008) 4.23

Prediction of protein structural classes. Crit Rev Biochem Mol Biol (1995) 3.90

Some remarks on protein attribute prediction and pseudo amino acid composition. J Theor Biol (2010) 3.02

Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms. Nat Protoc (2008) 2.89

Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics (2004) 2.19

CAMP: a useful resource for research on antimicrobial peptides. Nucleic Acids Res (2009) 2.02

AMPer: a database and an automated discovery tool for antimicrobial peptides. Bioinformatics (2007) 1.59

iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins. PLoS One (2011) 1.59

From antimicrobial to anticancer peptides. A review. Front Microbiol (2013) 1.56

Analysis and prediction of antibacterial peptides. BMC Bioinformatics (2007) 1.54

Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. J Proteome Res (2007) 1.52

Antimicrobial peptides. Pharmaceuticals (Basel) (2013) 1.37

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Res (2014) 1.34

Prediction of antimicrobial peptides based on sequence alignment and feature selection methods. PLoS One (2011) 1.34

Some remarks on predicting multi-label attributes in molecular biosystems. Mol Biosyst (2013) 1.33

iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites. Mol Biosyst (2011) 1.33

iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition. Bioinformatics (2015) 1.33

iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types. Anal Biochem (2013) 1.29

CAMP: Collection of sequences and structures of antimicrobial peptides. Nucleic Acids Res (2013) 1.24

Human antimicrobial peptides and proteins. Pharmaceuticals (Basel) (2014) 1.23

LAMP: A Database Linking Antimicrobial Peptides. PLoS One (2013) 1.21

iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites. J Theor Biol (2011) 1.16

Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites. Biochem Biophys Res Commun (2007) 1.16

AntiBP2: improved version of antibacterial peptide prediction. BMC Bioinformatics (2010) 1.15

Impacts of bioinformatics to medicinal chemistry. Med Chem (2015) 1.15

iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites. Mol Biosyst (2011) 1.13

iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition. Anal Biochem (2015) 1.10

iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins. Mol Biosyst (2013) 1.09

Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins. J Theor Biol (2010) 1.04

iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework. Bioinformatics (2016) 1.01

iLoc-Gpos: a multi-layer classifier for predicting the subcellular localization of singleplex and multiplex Gram-positive bacterial proteins. Protein Pept Lett (2012) 0.98

mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines. BMC Bioinformatics (2012) 0.97

iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget (2016) 0.97

iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach. J Biomol Struct Dyn (2015) 0.92

pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties. Anal Biochem (2015) 0.92

Potential therapeutic applications of multifunctional host-defense peptides from frog skin as anti-cancer, anti-viral, immunomodulatory, and anti-diabetic agents. Peptides (2014) 0.91

Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. Comput Biol Chem (2012) 0.91

Virus-mPLoc: a fusion classifier for viral protein subcellular location prediction by incorporating multiple sites. J Biomol Struct Dyn (2010) 0.91

Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites. PLoS One (2012) 0.89

Predicting antibacterial peptides by the concept of Chou's pseudo-amino acid composition and machine learning methods. Protein Pept Lett (2013) 0.89

pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. J Theor Biol (2016) 0.88

iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget (2016) 0.88

iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets. Molecules (2016) 0.87

iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Anal Biochem (2015) 0.86

Gpos-mPLoc: a top-down approach to improve the quality of predicting subcellular localization of Gram-positive bacterial proteins. Protein Pept Lett (2009) 0.86

DBAASP: database of antimicrobial activity and structure of peptides. FEMS Microbiol Lett (2014) 0.86

Gene function prediction based on the Gene Ontology hierarchical structure. PLoS One (2014) 0.82

ClassAMP: a prediction tool for classification of antimicrobial peptides. IEEE/ACM Trans Comput Biol Bioinform (2012) 0.82

iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition. Oncotarget (2016) 0.82

Antimicrobial peptides. Ups J Med Sci (2014) 0.82

Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou's General PseAAC via Grey System Theory. Mol Inform (2016) 0.81

Prediction of antimicrobial activity of synthetic peptides by a decision tree model. Appl Environ Microbiol (2013) 0.80

Distinct profiling of antimicrobial peptide families. Bioinformatics (2014) 0.80

Peptides with antimicrobial and anti-inflammatory activities that have therapeutic potential for treatment of acne vulgaris. Peptides (2012) 0.80

C-PAmP: large scale analysis and database construction containing high scoring computationally predicted antimicrobial peptides for all the available plant species. PLoS One (2013) 0.79

Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranes. J Chem Inf Model (2014) 0.78

seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data. Bioinformatics (2016) 0.77