Research graph
References from iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree. Local targets link to admitted publications; unresolved targets remain external evidence.
Growth hormone binding protein. The soluble growth hormone receptor
2002 · External reference
10.1016/j.ghir.2005.11.001
10.1016/j.ghir.2005.11.001 · External reference
Identification and characterization of specific binding proteins for growth hormone in normal human sera
10.1172/jci112507 · 1986 · External reference
Growth hormone receptor and serum binding protein: purification, cloning and expression
10.1038/330537a0 · 1987 · External reference
10.1016/j.beem.2015.06.004
10.1016/j.beem.2015.06.004 · External reference
Metalloprotease-mediatedGH receptor proteolysis and GHBP shedding. Determination of extracellular domain stem region cleavage site
10.1074/jbc.m208738200 · 2002 · External reference
Activation of protein kinase C alpha enhances human growth hormone-binding protein release
10.1016/s0303-7207(98)00151-8 · 1998 · External reference
Clinical review 112: Does serum growth hormone (GH) binding protein reflect human GH receptor function?
10.1210/jcem.85.3.6461 · 2000 · External reference
10.1210/edrv.19.5.0347
10.1210/edrv.19.5.0347 · External reference
10.1006/gcen.1998.7106
10.1006/gcen.1998.7106 · External reference
Identification of serum GH-binding proteins in the goldfish (Carassius auratus) and comparison with mammalian GH-binding proteins
10.1677/joe.0.1610255 · 1999 · External reference
10.1111/jfb.12473
10.1111/jfb.12473 · External reference
A simple, rapid immunometric assay for determination of functional and growth hormone-occupied growth hormone-binding protein in human serum
10.1046/j.1365-2362.1996.2010558.x · 1996 · External reference
HBPred: a tool to identify growth hormone-binding proteins
10.7150/ijbs.24174 · 2018 · External reference
10.1093/bioinformatics/btq003
10.1093/bioinformatics/btq003 · External reference
Prediction of protein folding class using global description of amino acid sequence
10.1073/pnas.92.19.8700 · 1995 · External reference
AAindex: amino acid index database progress report 2008
10.1093/nar/gkm998 · 2007 · External reference
Fuzzy clustering of physicochemical and biochemical properties of amino acids
10.1007/s00726-011-1106-9 · 2012 · External reference
10.3389/fninf.2014.00014
10.3389/fninf.2014.00014 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Extremely randomized trees
10.1007/s10994-006-6226-1 · 2006 · External reference
MLACP: machine-learning-based prediction of anticancer peptides
10.18632/oncotarget.20365 · 2017 · External reference
Machine-learning-based prediction of cell-penetrating peptides and their uptake efficiency with improved accuracy
10.1021/acs.jproteome.8b00148 · 2018 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
2018 · External reference
10.1093/bioinformatics/btx222
10.1093/bioinformatics/btx222 · External reference
iBCE-EL: A new ensemble learning framework for improved linear B-cell epitope prediction
10.3389/fimmu.2018.01695 · 2018 · External reference
Unresolved reference
1995 · External reference
Greedy function approximation: a gradient boosting machine
2001 · External reference
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine
10.1093/bioinformatics/btx662 · 2018 · External reference
10.1145/3233547.3233707
10.1145/3233547.3233707 · 2018 · 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
10.3390/molecules22101732
10.3390/molecules22101732 · External reference
A two-step discriminated method to identify thermophilic proteins
10.1142/s1793524517500504 · 2017 · External reference
Survey of machine learning techniques in drug discovery
2018 · 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
iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
10.1093/nar/gks1450 · 2013 · 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
Sequence-based predictive modeling to identify cancerlectins
10.18632/oncotarget.15963 · 2017 · External reference
The prediction of protein structural class using averaged chemical shifts
2012 · External reference
Identifying sigma70 promoters with novel pseudo nucleotide composition
2017 · External reference
Identification of secretory proteins in Mycobacterium tuberculosis using pseudo amino acid composition
2016 · External reference
IonchanPred 2.0: A tool to predict ion channels and their types
10.3390/ijms18091838 · 2017 · External reference
Protein single-model quality assessment by feature-based probability density functions
10.1038/srep23990 · 2016 · 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
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
10.18632/oncotarget.23099 · 2018 · External reference
PIP-EL: A new ensemble learning method for improved proinflammatory peptide predictions
10.3389/fimmu.2018.01783 · 2018 · External reference
ACPred-FL: a sequence-based predictor based on effective feature representation to improve the prediction of anti-cancer peptides
2018 · External reference
CPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency
10.1021/acs.jproteome.7b00019 · 2017 · External reference
SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides
2017 · External reference
M6APred-EL: A sequence-based predictor for identifying N6-methyladenosine sites using ensemble learning
10.1016/j.omtn.2018.07.004 · 2018 · External reference
iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC
10.7150/ijbs.24616 · 2018 · External reference
10.1148/radiology.143.1.7063747
10.1148/radiology.143.1.7063747 · External reference
10.1371/journal.pone.0106542
10.1371/journal.pone.0106542 · External reference
10.1002/jmr.1085
10.1002/jmr.1085 · External reference
Structure-function relationship of cytoplasmic and nuclear IkappaB proteins: an in silico analysis
10.1371/journal.pone.0015782 · 2010 · External reference
10.1371/journal.pone.0023989
10.1371/journal.pone.0023989 · External reference
10.1371/journal.pone.0054178
10.1371/journal.pone.0054178 · External reference
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
10.1109/tnb.2017.2661756 · 2017 · External reference
Fast prediction of protein methylation sites using a sequence-based feature selection technique
2017 · 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
Integration of deep feature representations and handcrafted features to improve the prediction of N 6-methyladenosine sites
2018 · External reference
Developing a multi-dose computational model for drug-induced hepatotoxicity prediction based on toxicogenomics data
2018 · External reference
3Drefine: an interactive web server for efficient protein structure refinement
10.1093/nar/gkw336 · 2016 · External reference
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
2018 · External reference
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
2018 · External reference
10.1093/bioinformatics/btw316
10.1093/bioinformatics/btw316 · External reference
