266 related articles for article (PubMed ID: 21267749)
21. Predicting sumoylation site by feature selection method.
Cai Y; He J; Lu L
J Biomol Struct Dyn; 2011 Apr; 28(5):797-804. PubMed ID: 21294590
[TBL] [Abstract][Full Text] [Related]
22. Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches.
Li BQ; Hu LL; Niu S; Cai YD; Chou KC
J Proteomics; 2012 Feb; 75(5):1654-65. PubMed ID: 22178444
[TBL] [Abstract][Full Text] [Related]
23. Large-scale prediction of protein ubiquitination sites using a multimodal deep architecture.
He F; Wang R; Li J; Bao L; Xu D; Zhao X
BMC Syst Biol; 2018 Nov; 12(Suppl 6):109. PubMed ID: 30463553
[TBL] [Abstract][Full Text] [Related]
24. Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling.
Zhu Y; Jia C; Li F; Song J
Anal Biochem; 2020 Mar; 593():113592. PubMed ID: 31968210
[TBL] [Abstract][Full Text] [Related]
25. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
Kumar M; Gromiha MM; Raghava GP
J Mol Recognit; 2011; 24(2):303-13. PubMed ID: 20677174
[TBL] [Abstract][Full Text] [Related]
26. Prediction of membrane protein types in a hybrid space.
Jia P; Qian Z; Feng K; Lu W; Li Y; Cai Y
J Proteome Res; 2008 Mar; 7(3):1131-7. PubMed ID: 18260610
[TBL] [Abstract][Full Text] [Related]
27. HIV-1 protease cleavage site prediction based on amino acid property.
Niu B; Lu L; Liu L; Gu TH; Feng KY; Lu WC; Cai YD
J Comput Chem; 2009 Jan; 30(1):33-9. PubMed ID: 18496789
[TBL] [Abstract][Full Text] [Related]
28. A sequence-based approach for predicting protein disordered regions.
Huang T; He ZS; Cui WR; Cai YD; Shi XH; Hu LL; Chou KC
Protein Pept Lett; 2013 Mar; 20(3):243-8. PubMed ID: 22591473
[TBL] [Abstract][Full Text] [Related]
29. Prediction of protein subcellular location using a combined feature of sequence.
Gao QB; Wang ZZ; Yan C; Du YH
FEBS Lett; 2005 Jun; 579(16):3444-8. PubMed ID: 15949806
[TBL] [Abstract][Full Text] [Related]
30. Using K-minimum increment of diversity to predict secretory proteins of malaria parasite based on groupings of amino acids.
Zuo YC; Li QZ
Amino Acids; 2010 Mar; 38(3):859-67. PubMed ID: 19387791
[TBL] [Abstract][Full Text] [Related]
31. iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model.
Qiu WR; Xiao X; Lin WZ; Chou KC
J Biomol Struct Dyn; 2015; 33(8):1731-42. PubMed ID: 25248923
[TBL] [Abstract][Full Text] [Related]
32. UbNiRF: A Hybrid Framework Based on Null Importances and Random Forest that Combines Multiple Features to Predict Ubiquitination Sites in
Li X; Yuan Z; Chen Y
Front Biosci (Landmark Ed); 2024 May; 29(5):197. PubMed ID: 38812315
[TBL] [Abstract][Full Text] [Related]
33. GalNAc-transferase specificity prediction based on feature selection method.
Lu L; Niu B; Zhao J; Liu L; Lu WC; Liu XJ; Li YX; Cai YD
Peptides; 2009 Feb; 30(2):359-64. PubMed ID: 18955094
[TBL] [Abstract][Full Text] [Related]
34. Identifying protein complexes using hybrid properties.
Chen L; Shi X; Kong X; Zeng Z; Cai YD
J Proteome Res; 2009 Nov; 8(11):5212-8. PubMed ID: 19764809
[TBL] [Abstract][Full Text] [Related]
35. Lysine acetylation sites prediction using an ensemble of support vector machine classifiers.
Xu Y; Wang XB; Ding J; Wu LY; Deng NY
J Theor Biol; 2010 May; 264(1):130-5. PubMed ID: 20085770
[TBL] [Abstract][Full Text] [Related]
36. A systematic identification of species-specific protein succinylation sites using joint element features information.
Hasan MM; Khatun MS; Mollah MNH; Yong C; Guo D
Int J Nanomedicine; 2017; 12():6303-6315. PubMed ID: 28894368
[TBL] [Abstract][Full Text] [Related]
37. Sequence-Based Prediction of RNA-Binding Proteins Using Random Forest with Minimum Redundancy Maximum Relevance Feature Selection.
Ma X; Guo J; Sun X
Biomed Res Int; 2015; 2015():425810. PubMed ID: 26543860
[TBL] [Abstract][Full Text] [Related]
38. CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition.
Khan A; Majid A; Hayat M
Comput Biol Chem; 2011 Aug; 35(4):218-29. PubMed ID: 21864791
[TBL] [Abstract][Full Text] [Related]
39. Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC.
Ju Z; Cao JZ; Gu H
J Theor Biol; 2016 May; 397():145-50. PubMed ID: 26908349
[TBL] [Abstract][Full Text] [Related]
40. Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis.
Zhang N; Zhou Y; Huang T; Zhang YC; Li BQ; Chen L; Cai YD
PLoS One; 2014; 9(9):e107464. PubMed ID: 25222670
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]