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References from AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1099/jmm.0.000171
10.1099/jmm.0.000171 · External reference
Diagnosis and treatment of paediatric tuberculosis: an insight review
10.1080/1040841x.2016.1262813 · 2017 · External reference
Anti-tubercular peptides: a quest of future therapeutic weapon to combat tuberculosis
10.1016/j.apjtm.2016.09.005 · 2016 · External reference
Treatment of drug-resistant tuberculosis
2011 · External reference
10.1016/j.micpath.2017.11.034
10.1016/j.micpath.2017.11.034 · External reference
Anti-mycobacterial peptides: from human to phage
10.1159/000369711 · 2015 · External reference
Prediction of Antitubercular peptides from sequence information using ensemble classifier and hybrid features
10.3389/fphar.2018.00954 · 2018 · External reference
Unresolved reference
2018 · External reference
Prediction of cell-penetrating potential of modified peptides containing natural and chemically modified residues
10.3389/fmicb.2018.00725 · 2018 · External reference
Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants
10.1186/s12967-018-1560-1 · 2018 · External reference
A web resource for designing subunit vaccine against major pathogenic species of bacteria
10.3389/fimmu.2018.02280 · 2018 · External reference
In silico tools and databases for designing peptide-based vaccine and drugs
10.1016/bs.apcsb.2018.01.006 · 2018 · External reference
10.1093/bioinformatics/bty155
10.1093/bioinformatics/bty155 · External reference
Bastion3: a two-layer ensemble predictor of type III secreted effectors
10.1093/bioinformatics/bty914 · 2019 · External reference
10.1073/pnas.0607879104
10.1073/pnas.0607879104 · External reference
10.1093/nar/28.1.374
10.1093/nar/28.1.374 · External reference
10.1093/nar/gkm998
10.1093/nar/gkm998 · External reference
Fuzzy clustering of physicochemical and biochemical properties of amino acids
10.1007/s00726-011-1106-9 · 2012 · External reference
iBCE-EL: a new ensemble learning framework for improved linear B-cell epitope prediction
10.3389/fimmu.2018.01695 · 2018 · External reference
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
10.1016/j.omtn.2019.04.019 · 2019 · External reference
Identifying phage Virion proteins by using two-step feature selection methods
10.3390/molecules23082000 · 2018 · External reference
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
10.3390/ijms20081964 · 2019 · External reference
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
10.1093/bioinformatics/bty824 · 2019 · External reference
PIP-EL: a new ensemble learning method for improved proinflammatory peptide predictions
10.3389/fimmu.2018.01783 · 2018 · External reference
AIPpred: sequence-based prediction of anti-inflammatory peptides using random Forest
10.3389/fphar.2018.00276 · 2018 · External reference
PVP-SVM: sequence-based prediction of phage Virion proteins using a support vector machine
10.3389/fmicb.2018.00476 · 2018 · External reference
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
2018 · External reference
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
2018 · External reference
10.1016/j.omtn.2018.07.004
10.1016/j.omtn.2018.07.004 · External reference
ACPred-FL: a sequence-based predictor based on effective feature representation to improve the prediction of anti-cancer peptides
10.1093/bioinformatics/bty451 · 2018 · External reference
10.1007/s10994-006-6226-1
10.1007/s10994-006-6226-1 · External reference
10.1016/j.csbj.2018.10.007 · Admitted local publication
10.3389/fninf.2014.00014
10.3389/fninf.2014.00014 · External reference
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique
10.1093/bioinformatics/bty943 · 2019 · External reference
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
10.1093/bioinformatics/bty827 · 2019 · External reference
Some remarks on protein attribute prediction and pseudo amino acid composition
10.1016/j.jtbi.2010.12.024 · 2011 · External reference
10.1016/j.omtn.2018.03.012
10.1016/j.omtn.2018.03.012 · External reference
iRNA-PseU: identifying RNA pseudouridine sites
10.1038/mtna.2016.37 · 2016 · External reference
iHSP-PseRAAAC: identifying the heat shock protein families using pseudo reduced amino acid alphabet composition
10.1016/j.ab.2013.05.024 · 2013 · External reference
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties
10.1093/bioinformatics/btx479 · 2017 · External reference
The prediction of protein structural class using averaged chemical shifts
2012 · External reference
Identification of secretory proteins in Mycobacterium tuberculosis using pseudo amino acid composition
10.1155/2016/5413903 · 2016 · External reference
IonchanPred 2.0: a tool to predict ion channels and their types
2017 · External reference
MLACP: machine-learning-based prediction of anticancer peptides
10.18632/oncotarget.20365 · 2017 · External reference
Prediction of human protein subcellular localization using deep learning
10.1016/j.jpdc.2017.08.009 · 2018 · External reference
Local-DPP: an improved DNA-binding protein prediction method by exploring local evolutionary information
10.1016/j.ins.2016.06.026 · 2017 · External reference
A novel hierarchical selective ensemble classifier with bioinformatics application
10.1016/j.artmed.2017.02.005 · 2017 · External reference
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
2019 · External reference
iRNAD: a computational tool for identifying D modification sites in RNA sequence
2019 · External reference
A similarity-based method for prediction of drug side effects with heterogeneous information
10.1016/j.mbs.2018.09.010 · 2018 · External reference
Tissue differences revealed by gene expression profiles of various cell lines
2018 · External reference
Gene expression differences among different MSI statuses in colorectal cancer
2018 · External reference
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome
10.1093/bioinformatics/btz015 · 2019 · External reference
Iterative feature representations improve N4-methylcytosine site prediction
2019 · External reference
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides
10.1093/bioinformatics/bty451 · 2018 · External reference
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms
2018 · External reference
Recent advances in developing web-servers for predicting protein attributes
2009 · External reference
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
10.1093/bioinformatics/btw694 · 2017 · External reference
DeepQA: improving the estimation of single protein model quality with deep belief networks
10.1186/s12859-016-1405-y · 2016 · External reference
ProLanGO: protein function prediction using neural machine translation based on a recurrent neural network
2017 · External reference
10.1261/rna.069112.118
10.1261/rna.069112.118 · External reference
10.1016/j.compbiolchem.2019.05.008
10.1016/j.compbiolchem.2019.05.008 · External reference
ACPred: a computational tool for the prediction and analysis of anticancer peptides
10.3390/molecules24101973 · 2019 · External reference
PreAIP: computational prediction of anti-inflammatory peptides by integrating multiple complementary features
10.3389/fgene.2019.00129 · 2019 · External reference
Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
10.1038/s41598-019-44548-x · 2019 · External reference
PAAP: a web server for predicting antihypertensive activity of peptides
10.4155/fmc-2017-0300 · 2018 · External reference
10.1371/journal.pone.0200283
10.1371/journal.pone.0200283 · External reference
NTyroSite: computational identification of protein Nitrotyrosine sites using sequence evolutionary features
10.3390/molecules23071667 · 2018 · External reference
10.1093/nar/gkv1278
10.1093/nar/gkv1278 · External reference
Characterization and identification of antimicrobial peptides with different functional activities
2019 · External reference
SeqTU: a web server for identification of bacterial transcription units
10.1038/srep43925 · 2017 · External reference
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
2018 · External reference
DMINDA 2.0: integrated and systematic views of regulatory DNA motif identification and analyses
10.1093/bioinformatics/btx223 · 2017 · External reference
