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Predict and Analyze Protein Glycation Sites with the mRMR and IFS Methods.
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Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.
PLoS One. 2015 Jun 16;10(6):e0129635. doi: 10.1371/journal.pone.0129635. eCollection 2015.
4
Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection.
Mol Biosyst. 2013 Jan 27;9(1):61-9. doi: 10.1039/c2mb25327e. Epub 2012 Nov 2.
5
Prediction of protein-protein interactions based on PseAA composition and hybrid feature selection.
Biochem Biophys Res Commun. 2009 Mar 6;380(2):318-22. doi: 10.1016/j.bbrc.2009.01.077. Epub 2009 Jan 24.
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Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection.
Med Biol Eng Comput. 2015 Jun;53(6):535-44. doi: 10.1007/s11517-015-1268-9. Epub 2015 Mar 10.
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Predicting lysine glycation sites using bi-profile bayes feature extraction.
Comput Biol Chem. 2017 Dec;71:98-103. doi: 10.1016/j.compbiolchem.2017.10.004. Epub 2017 Oct 12.
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Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC.
J Theor Biol. 2016 May 21;397:145-50. doi: 10.1016/j.jtbi.2016.02.020. Epub 2016 Feb 22.
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Prediction of pupylation sites using the composition of k-spaced amino acid pairs.
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引用本文的文献

1
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for .
Front Bioinform. 2022 Feb 18;2:834153. doi: 10.3389/fbinf.2022.834153. eCollection 2022.
3
Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADEL.
Methods Mol Biol. 2022;2499:205-219. doi: 10.1007/978-1-0716-2317-6_11.
4
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features.
Methods Mol Biol. 2022;2499:125-134. doi: 10.1007/978-1-0716-2317-6_5.
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XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites.
Mol Genet Genomics. 2020 Jan;295(1):13-21. doi: 10.1007/s00438-019-01600-9. Epub 2019 Aug 7.
8
GlyStruct: glycation prediction using structural properties of amino acid residues.
BMC Bioinformatics. 2019 Feb 4;19(Suppl 13):547. doi: 10.1186/s12859-018-2547-x.

本文引用的文献

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Multiobjective binary biogeography based optimization for feature selection using gene expression data.
IEEE Trans Nanobioscience. 2013 Dec;12(4):343-53. doi: 10.1109/tnb.2013.2294716.
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Prediction of methylation sites using the composition of K-spaced amino acid pairs.
Protein Pept Lett. 2013 Aug;20(8):911-7. doi: 10.2174/0929866511320080008.
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Application of differential evolution algorithm on self-potential data.
PLoS One. 2012;7(12):e51199. doi: 10.1371/journal.pone.0051199. Epub 2012 Dec 11.
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Prediction of protein phosphorylation sites by using the composition of k-spaced amino acid pairs.
PLoS One. 2012;7(10):e46302. doi: 10.1371/journal.pone.0046302. Epub 2012 Oct 22.
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Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches.
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Prediction and analysis of protein palmitoylation sites.
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Classification of nucleotide sequences using support vector machines.
J Mol Evol. 2010 Oct;71(4):250-67. doi: 10.1007/s00239-010-9380-9. Epub 2010 Aug 26.
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A classification-based prediction model of messenger RNA polyadenylation sites.
J Theor Biol. 2010 Aug 7;265(3):287-96. doi: 10.1016/j.jtbi.2010.05.015. Epub 2010 May 26.
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The Universal Protein Resource (UniProt) in 2010.
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