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1015 related items for PubMed ID: 26940649

  • 1. Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
    Cai B, Jiang X.
    BMC Bioinformatics; 2016 Mar 03; 17():116. PubMed ID: 26940649
    [Abstract] [Full Text] [Related]

  • 2. A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets.
    Jiang X, Cai B, Xue D, Lu X, Cooper GF, Neapolitan RE.
    J Am Med Inform Assoc; 2014 Oct 03; 21(e2):e312-9. PubMed ID: 24737607
    [Abstract] [Full Text] [Related]

  • 3. hCKSAAP_UbSite: improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties.
    Chen Z, Zhou Y, Song J, Zhang Z.
    Biochim Biophys Acta; 2013 Aug 03; 1834(8):1461-7. PubMed ID: 23603789
    [Abstract] [Full Text] [Related]

  • 4. Computational identification of ubiquitylation sites from protein sequences.
    Tung CW, Ho SY.
    BMC Bioinformatics; 2008 Jul 15; 9():310. PubMed ID: 18625080
    [Abstract] [Full Text] [Related]

  • 5. Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection.
    Chen Y, Zhou W, Wang H, Yuan Z.
    Med Biol Eng Comput; 2015 Jun 15; 53(6):535-44. PubMed ID: 25752770
    [Abstract] [Full Text] [Related]

  • 6. Remote homology detection incorporating the context of physicochemical properties.
    Bedoya O, Tischer I.
    Comput Biol Med; 2014 Feb 15; 45():43-50. PubMed ID: 24480162
    [Abstract] [Full Text] [Related]

  • 7. predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue.
    Hasan MA, Li J, Ahmad S, Molla MK.
    Anal Biochem; 2017 May 15; 525():107-113. PubMed ID: 28286168
    [Abstract] [Full Text] [Related]

  • 8. Using amino acid physicochemical distance transformation for fast protein remote homology detection.
    Liu B, Wang X, Chen Q, Dong Q, Lan X.
    PLoS One; 2012 May 15; 7(9):e46633. PubMed ID: 23029559
    [Abstract] [Full Text] [Related]

  • 9. OH-PRED: prediction of protein hydroxylation sites by incorporating adapted normal distribution bi-profile Bayes feature extraction and physicochemical properties of amino acids.
    Jia CZ, He WY, Yao YH.
    J Biomol Struct Dyn; 2017 Mar 15; 35(4):829-835. PubMed ID: 26957000
    [Abstract] [Full Text] [Related]

  • 10. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A, Raghava GP.
    In Silico Biol; 2008 Mar 15; 8(2):129-40. PubMed ID: 18928201
    [Abstract] [Full Text] [Related]

  • 11. A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features.
    Li L, Luo Q, Xiao W, Li J, Zhou S, Li Y, Zheng X, Yang H.
    J Bioinform Comput Biol; 2017 Feb 15; 15(1):1650025. PubMed ID: 27411307
    [Abstract] [Full Text] [Related]

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  • 14. Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method.
    Emamjomeh A, Goliaei B, Zahiri J, Ebrahimpour R.
    Mol Biosyst; 2014 Dec 15; 10(12):3147-54. PubMed ID: 25230581
    [Abstract] [Full Text] [Related]

  • 15. A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties.
    Pan G, Jiang L, Tang J, Guo F.
    Int J Mol Sci; 2018 Feb 08; 19(2):. PubMed ID: 29419752
    [Abstract] [Full Text] [Related]

  • 16. Predicting drug-target interaction network using deep learning model.
    You J, McLeod RD, Hu P.
    Comput Biol Chem; 2019 Jun 08; 80():90-101. PubMed ID: 30939415
    [Abstract] [Full Text] [Related]

  • 17. SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites.
    Al-Barakati HJ, McConnell EW, Hicks LM, Poole LB, Newman RH, Kc DB.
    Sci Rep; 2018 Jul 26; 8(1):11288. PubMed ID: 30050050
    [Abstract] [Full Text] [Related]

  • 18. Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs.
    Chen Z, Chen YZ, Wang XF, Wang C, Yan RX, Zhang Z.
    PLoS One; 2011 Jul 26; 6(7):e22930. PubMed ID: 21829559
    [Abstract] [Full Text] [Related]

  • 19. Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.
    Ning Q, Yu M, Ji J, Ma Z, Zhao X.
    BMC Bioinformatics; 2019 Jun 17; 20(1):346. PubMed ID: 31208321
    [Abstract] [Full Text] [Related]

  • 20. Classifying noisy protein sequence data: a case study of immunoglobulin light chains.
    Yu C, Zavaljevski N, Stevens FJ, Yackovich K, Reifman J.
    Bioinformatics; 2005 Jun 17; 21 Suppl 1():i495-501. PubMed ID: 15961496
    [Abstract] [Full Text] [Related]

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