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    Results: 1 to 20 of 424

    1.

    Functional discrimination of membrane proteins using machine learning techniques.

    Gromiha MM, Yabuki Y.

    BMC Bioinformatics. 2008 Mar 3;9:135.PMID: 18312695 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    A simple statistical method for discriminating outer membrane proteins with better accuracy.

    Gromiha MM, Suwa M.

    Bioinformatics. 2005 Apr 1;21(7):961-8. Epub 2004 Nov 5.PMID: 15531602 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Discrimination of mesophilic and thermophilic proteins using machine learning algorithms.

    Gromiha MM, Suresh MX.

    Proteins. 2008 Mar;70(4):1274-9.PMID: 17876820 [PubMed - indexed for MEDLINE]Related articles

    4.

    SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.

    Melvin I, Ie E, Kuang R, Weston J, Stafford WN, Leslie C.

    BMC Bioinformatics. 2007 May 22;8 Suppl 4:S2.PMID: 17570145 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Learning to translate sequence and structure to function: identifying DNA binding and membrane binding proteins.

    Langlois RE, Carson MB, Bhardwaj N, Lu H.

    Ann Biomed Eng. 2007 Jun;35(6):1043-52. Epub 2007 Apr 13.PMID: 17436108 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Influence of amino acid properties for discriminating outer membrane proteins at better accuracy.

    Gromiha MM, Suwa M.

    Biochim Biophys Acta. 2006 Sep;1764(9):1493-7. Epub 2006 Jul 31.PMID: 16963325 [PubMed - indexed for MEDLINE]Related articles

    7.

    Classification of protein quaternary structure with support vector machine.

    Zhang SW, Pan Q, Zhang HC, Zhang YL, Wang HY.

    Bioinformatics. 2003 Dec 12;19(18):2390-6.PMID: 14668222 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Discrimination of outer membrane proteins using machine learning algorithms.

    Gromiha MM, Suwa M.

    Proteins. 2006 Jun 1;63(4):1031-7.PMID: 16493651 [PubMed - indexed for MEDLINE]Related articles

    9.

    Hierarchical learning architecture with automatic feature selection for multiclass protein fold classification.

    Huang CD, Lin CT, Pal NR.

    IEEE Trans Nanobioscience. 2003 Dec;2(4):221-32.PMID: 15376912 [PubMed - indexed for MEDLINE]Related articles

    10.

    Prediction of protein folds: extraction of new features, dimensionality reduction, and fusion of heterogeneous classifiers.

    Ghanty P, Pal NR.

    IEEE Trans Nanobioscience. 2009 Mar;8(1):100-10. Epub 2009 Mar 10.PMID: 19278932 [PubMed - indexed for MEDLINE]Related articles

    11.

    Enhanced recognition of protein transmembrane domains with prediction-based structural profiles.

    Cao B, Porollo A, Adamczak R, Jarrell M, Meller J.

    Bioinformatics. 2006 Feb 1;22(3):303-9. Epub 2005 Nov 17.PMID: 16293670 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Accuracy of structure-based sequence alignment of automatic methods.

    Kim C, Lee B.

    BMC Bioinformatics. 2007 Sep 20;8:355.PMID: 17883866 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    A nearest neighbor approach for automated transporter prediction and categorization from protein sequences.

    Li H, Dai X, Zhao X.

    Bioinformatics. 2008 May 1;24(9):1129-36. Epub 2008 Mar 12.PMID: 18337257 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Improved method for predicting beta-turn using support vector machine.

    Zhang Q, Yoon S, Welsh WJ.

    Bioinformatics. 2005 May 15;21(10):2370-4. Epub 2005 Mar 29.PMID: 15797917 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    EHPred: an SVM-based method for epoxide hydrolases recognition and classification.

    Jia J, Yang L, Zhang ZZ.

    J Zhejiang Univ Sci B. 2006 Jan;7(1):1-6.PMID: 16365918 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.

    Kurgan L, Cios K, Chen K.

    BMC Bioinformatics. 2008 May 1;9:226.PMID: 18452616 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Support vector machines for prediction and analysis of beta and gamma-turns in proteins.

    Pham TH, Satou K, Ho TB.

    J Bioinform Comput Biol. 2005 Apr;3(2):343-58.PMID: 15852509 [PubMed - indexed for MEDLINE]Related articles

    19.

    An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins.

    Martelli PL, Fariselli P, Casadio R.

    Bioinformatics. 2003;19 Suppl 1:i205-11.PMID: 12855459 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

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