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References from RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1093/nar/gkt1093
10.1093/nar/gkt1093 · External reference
10.1002/msb.134974
10.1002/msb.134974 · External reference
10.1074/mcp.m111.012658
10.1074/mcp.m111.012658 · External reference
10.1002/anie.201300252
10.1002/anie.201300252 · External reference
10.1002/anie.201200316
10.1002/anie.201200316 · External reference
Lysine succinylation and lysine malonylation in histones
10.1074/mcp.m111.015875 · 2012 · External reference
10.1146/annurev.nutr.28.061807.155434
10.1146/annurev.nutr.28.061807.155434 · External reference
10.1074/mcp.m115.048850
10.1074/mcp.m115.048850 · External reference
10.1021/acs.jproteome.6b00131
10.1021/acs.jproteome.6b00131 · External reference
10.1016/j.tem.2012.07.004
10.1016/j.tem.2012.07.004 · External reference
10.1021/cb3001793
10.1021/cb3001793 · External reference
10.1021/acs.jproteome.6b00264
10.1021/acs.jproteome.6b00264 · External reference
10.1016/j.molcel.2015.05.022
10.1016/j.molcel.2015.05.022 · External reference
Lysine malonylation is elevated in type 2 diabetic mouse models and enriched in metabolic associated proteins
10.1074/mcp.m114.041947 · 2015 · External reference
10.1074/mcp.r114.046664
10.1074/mcp.r114.046664 · External reference
Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection
10.1038/srep38318 · 2016 · External reference
Computational prediction of species-specific malonylation sites via enhanced characteristic strategy
10.1093/bioinformatics/btw755 · 2016 · External reference
Predicting lysine-malonylation sites of proteins using sequence and predicted structural features
10.1002/jcc.25353 · 2018 · External reference
10.1109/bibe.2018.00077
10.1109/bibe.2018.00077 · External reference
Prediction of lysine malonylation sites based on pseudo amino acid
10.2174/1386207320666170314102647 · 2017 · External reference
10.1021/acs.jproteome.6b00240
10.1021/acs.jproteome.6b00240 · External reference
Integration of a deep learning classifier with a random forest approach for predicting malonylation sites
10.1016/j.gpb.2018.08.004 · 2018 · External reference
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
2018 · External reference
Prediction of subcellular localizations using amino acid composition and order
2001 · External reference
pLoc-mEuk: predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
10.1016/j.ygeno.2017.08.005 · 2018 · External reference
pLoc-mGpos: incorporate key gene ontology information into general PseAAC for predicting subcellular localization of Gram-positive bacterial proteins
2017 · External reference
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
10.1186/1471-2105-11-s1-s10 · 2010 · External reference
10.1186/s12864-015-2299-1
10.1186/s12864-015-2299-1 · External reference
Protein sequence comparison based on physicochemical properties and the position-feature energy matrix
10.1038/srep46237 · 2017 · External reference
LipoFNT: lipoylation sites identification with flexible neural tree
2019 · External reference
Mutli-features prediction of protein translational modification sites
10.1109/tcbb.2017.2752703 · 2017 · External reference
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
10.1186/1471-2105-7-68 · 2006 · External reference
10.1007/978-1-4939-9161-7_2
10.1007/978-1-4939-9161-7_2 · 2019 · External reference
10.1039/c8mo00089a
10.1039/c8mo00089a · External reference
GlyStruct: glycation prediction using structural properties of amino acid residues
10.1186/s12859-018-2547-x · 2019 · External reference
PhoglyStruct: prediction of phosphoglycerylated lysine residues using structural properties of amino acids
10.1038/s41598-018-36203-8 · 2018 · External reference
Somatic mutation detection using ensemble of flexible neural tree model
10.1016/j.neucom.2015.12.001 · 2016 · External reference
Reverse engineering of gene regulatory networks using flexible neural tree models
10.1016/j.neucom.2012.07.015 · 2013 · External reference
Kc DB: RF-Phos: a novel general phosphorylation site prediction tool based on random forest
10.1155/2016/3281590 · 2016 · External reference
10.1039/c9mo00028c
10.1039/c9mo00028c · External reference
SVM-SulfoSite: a support vector machine based predictor for sulfenylation sites
10.1038/s41598-018-29126-x · 2018 · External reference
Feature selection with annealing for computer vision and big data learning
10.1109/tpami.2016.2544315 · 2017 · External reference
Open source libraries and frameworks for biological data visualisation: a guide for developers
10.1002/pmic.201400377 · 2015 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
CNN-BLPred: a convolutional neural network based predictor for β-lactamases (BL) and their classes
10.1186/s12859-017-1972-6 · 2017 · External reference
EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction
10.1186/s12859-017-1713-x · 2017 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Ensemble based systems in decision making
10.1109/mcas.2006.1688199 · 2006 · External reference
Ensemble-based classifiers
10.1007/s10462-009-9124-7 · 2010 · External reference
Computational characterization of parallel dimeric and trimeric coiled-coils using effective amino acid indices
10.1039/c4mb00569d · 2015 · External reference
Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features
10.1038/srep05765 · 2014 · External reference
Structural propensities of human ubiquitination sites: accessibility, centrality and local conformation
10.1371/journal.pone.0083167 · 2013 · External reference
10.25080/majora-92bf1922-00a
10.25080/majora-92bf1922-00a · External reference
Unresolved reference
External reference
10.1093/bioinformatics/btx496
10.1093/bioinformatics/btx496 · External reference
DeepPhos: prediction of protein phosphorylation sites with deep learning
2019 · External reference
Unresolved reference
External reference
10.1038/srep18962
10.1038/srep18962 · External reference
Prediction of protein-protein interaction sites based on naive Bayes classifier
10.1155/2015/978193 · 2015 · External reference
Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs
10.1186/1471-2105-9-101 · 2008 · External reference
FAME 2: simple and effective machine learning model of cytochrome P450 Regioselectivity
10.1021/acs.jcim.7b00250 · 2017 · External reference
10.1186/1471-2105-14-s2-s5
10.1186/1471-2105-14-s2-s5 · External reference
SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic properties
10.1371/journal.pone.0039195 · 2012 · External reference
10.1093/bioinformatics/16.5.412
10.1093/bioinformatics/16.5.412 · External reference
10.1016/j.patrec.2005.10.010
10.1016/j.patrec.2005.10.010 · External reference
10.1371/journal.pone.0129635
10.1371/journal.pone.0129635 · External reference
Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs
10.1371/journal.pone.0022930 · 2011 · External reference
10.1371/journal.pone.0074002
10.1371/journal.pone.0074002 · External reference
10.1039/c2mb05502c
10.1039/c2mb05502c · External reference
A multiple resampling method for learning from imbalanced data sets
10.1111/j.0824-7935.2004.t01-1-00228.x · 2004 · External reference
