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References from SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1128/iai.72.5.2710-2722.2004
10.1128/iai.72.5.2710-2722.2004 · External reference
Sortase transpeptidases: structural biology and catalytic mechanism
10.1016/bs.apcsb.2017.04.008 · 2017 · External reference
10.1038/nrmicro2520
10.1038/nrmicro2520 · External reference
10.1111/j.1365-2958.2011.07887.x
10.1111/j.1365-2958.2011.07887.x · External reference
10.1098/rstb.2011.0210
10.1098/rstb.2011.0210 · External reference
Sortase A: an ideal target for anti-virulence drug development
10.1016/j.micpath.2014.10.007 · 2014 · External reference
10.1016/j.bmc.2009.08.067
10.1016/j.bmc.2009.08.067 · External reference
10.1016/j.aquaculture.2020.735743
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10.1021/acs.jmedchem.5b00779
10.1021/acs.jmedchem.5b00779 · External reference
10.3390/antibiotics9100706
10.3390/antibiotics9100706 · External reference
10.1038/nchembio.2007.31
10.1038/nchembio.2007.31 · External reference
10.1111/febs.13288
10.1111/febs.13288 · External reference
Anchoring of surface proteins to the cell wall of Staphylococcus aureus. III. Lipid II is an in vivo peptidoglycan substrate for sortase-catalyzed surface protein anchoring
10.1074/jbc.m109194200 · 2002 · External reference
Anchoring of surface proteins to the cell wall of Staphylococcus aureus. Cysteine 184 and histidine 120 of sortase form a thiolate-imidazolium ion pair for catalysis
10.1074/jbc.m109945200 · 2002 · External reference
10.1007/s12275-019-8545-5
10.1007/s12275-019-8545-5 · External reference
10.1111/j.1365-2958.2012.07983.x
10.1111/j.1365-2958.2012.07983.x · External reference
10.1016/s0022-2836(05)80360-2
10.1016/s0022-2836(05)80360-2 · External reference
10.1186/1471-2105-10-421
10.1186/1471-2105-10-421 · External reference
10.1093/nar/gky448
10.1093/nar/gky448 · External reference
10.1093/nar/gkw1129
10.1093/nar/gkw1129 · External reference
10.1093/bioinformatics/btl158
10.1093/bioinformatics/btl158 · External reference
iBCE-EL: A new ensemble learning framework for improved linear B-cell epitope prediction
10.3389/fimmu.2018.01695 · 2018 · External reference
PIP-EL: a new ensemble learning method for improved proinflammatory peptide predictions
10.3389/fimmu.2018.01783 · 2018 · External reference
10.18637/jss.v028.i05
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mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
10.3390/ijms20081964 · 2019 · External reference
10.1093/bib/bbab172
10.1093/bib/bbab172 · External reference
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10.1073/pnas.0607879104
10.1073/pnas.0607879104 · External reference
Prediction of protein subcellular locations by incorporating quasi-sequence-order effect
10.1006/bbrc.2000.3815 · 2000 · External reference
10.1093/bioinformatics/bty914
10.1093/bioinformatics/bty914 · External reference
10.1016/j.omtn.2020.07.035
10.1016/j.omtn.2020.07.035 · External reference
10.1093/bioinformatics/btaa702
10.1093/bioinformatics/btaa702 · External reference
10.1093/bib/bbaa017
10.1093/bib/bbaa017 · External reference
10.1093/bib/bbaa255
10.1093/bib/bbaa255 · External reference
10.1093/nar/gkab016
10.1093/nar/gkab016 · External reference
SMOTE: synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
Sequence-based prediction of protein–carbohydrate binding sites using support vector machines
10.1021/acs.jcim.6b00320 · 2016 · External reference
Predicting Cell Wall Lytic Enzymes Using Combined Features
2020 · External reference
Identifying protein subcellular locations with embeddings-based node2loc
2021 · External reference
10.1093/bfgp/elaa028
10.1093/bfgp/elaa028 · External reference
10.1093/bib/bby124
10.1093/bib/bby124 · External reference
Empirical comparison and analysis of web-based DNA N4-methylcytosine site prediction tools
10.1016/j.omtn.2020.09.010 · 2020 · External reference
10.1186/s12864-019-6413-7
10.1186/s12864-019-6413-7 · External reference
10.1126/science.285.5428.760
10.1126/science.285.5428.760 · External reference
Crystal structure of the Streptomyces coelicolor sortase E1 transpeptidase provides insight into the binding mode of the novel class E sorting signal
10.1371/journal.pone.0167763 · 2016 · External reference
10.1073/pnas.1900654116
10.1073/pnas.1900654116 · External reference
10.1038/s41573-019-0024-5
10.1038/s41573-019-0024-5 · External reference
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening
10.1002/med.21658 · 2020 · External reference
Protein secondary structure prediction using logic-based machine learning
10.1093/protein/5.7.647 · 1992 · External reference
Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network
10.1186/1472-6807-7-1 · 2007 · External reference
10.1126/science.abj8754
10.1126/science.abj8754 · External reference
10.1038/s41586-021-03819-2
10.1038/s41586-021-03819-2 · External reference
10.1093/bib/bbaa275
10.1093/bib/bbaa275 · External reference
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
10.1007/s11103-020-00988-y · 2020 · External reference
10.1016/j.csbj.2020.04.001 · Admitted local publication
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
10.1016/j.ijbiomac.2019.12.009 · 2020 · External reference
Extremely-randomized-tree-based Prediction of N(6)-Methyladenosine Sites in Saccharomyces cerevisiae
10.2174/1389202921666200219125625 · 2020 · External reference
10.1093/bioinformatics/btv604
10.1093/bioinformatics/btv604 · 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
Residue propensities, discrimination and binding site prediction of adenine and guanine phosphates
10.1186/1471-2091-12-20 · 2011 · External reference
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
10.1186/s12864-019-6336-3 · 2019 · External reference
mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences
2021 · External reference
10.1093/bib/bbab005
10.1093/bib/bbab005 · External reference
