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Journal Abstract Search

1436 related items for PubMed ID: 18928201

  • 1. 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; 8(2):129-40. PubMed ID: 18928201
    [Abstract] [Full Text] [Related]

  • 2. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
    Raghava GP, Han JH.
    BMC Bioinformatics; 2005 Mar 17; 6():59. PubMed ID: 15773999
    [Abstract] [Full Text] [Related]

  • 3. COPid: composition based protein identification.
    Kumar M, Thakur V, Raghava GP.
    In Silico Biol; 2008 Mar 17; 8(2):121-8. PubMed ID: 18928200
    [Abstract] [Full Text] [Related]

  • 4. Prediction of neurotoxins based on their function and source.
    Saha S, Raghava GP.
    In Silico Biol; 2007 Mar 17; 7(4-5):369-87. PubMed ID: 18391230
    [Abstract] [Full Text] [Related]

  • 5. BTXpred: prediction of bacterial toxins.
    Saha S, Raghava GP.
    In Silico Biol; 2007 Mar 17; 7(4-5):405-12. PubMed ID: 18391233
    [Abstract] [Full Text] [Related]

  • 6. RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information.
    Kaundal R, Raghava GP.
    Proteomics; 2009 May 17; 9(9):2324-42. PubMed ID: 19402042
    [Abstract] [Full Text] [Related]

  • 7. Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods.
    Natt NK, Kaur H, Raghava GP.
    Proteins; 2004 Jul 01; 56(1):11-8. PubMed ID: 15162482
    [Abstract] [Full Text] [Related]

  • 8. AlgPred: prediction of allergenic proteins and mapping of IgE epitopes.
    Saha S, Raghava GP.
    Nucleic Acids Res; 2006 Jul 01; 34(Web Server issue):W202-9. PubMed ID: 16844994
    [Abstract] [Full Text] [Related]

  • 9. DPROT: prediction of disordered proteins using evolutionary information.
    Sethi D, Garg A, Raghava GP.
    Amino Acids; 2008 Oct 01; 35(3):599-605. PubMed ID: 18425404
    [Abstract] [Full Text] [Related]

  • 10. Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile.
    Verma R, Varshney GC, Raghava GP.
    Amino Acids; 2010 Jun 01; 39(1):101-10. PubMed ID: 19908123
    [Abstract] [Full Text] [Related]

  • 11. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
    Kumar M, Gromiha MM, Raghava GP.
    J Mol Recognit; 2011 Jun 01; 24(2):303-13. PubMed ID: 20677174
    [Abstract] [Full Text] [Related]

  • 12. Predicting sub-cellular localization of tRNA synthetases from their primary structures.
    Panwar B, Raghava GP.
    Amino Acids; 2012 May 01; 42(5):1703-13. PubMed ID: 21400228
    [Abstract] [Full Text] [Related]

  • 13. Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information.
    Kaur H, Raghava GP.
    Proteins; 2004 Apr 01; 55(1):83-90. PubMed ID: 14997542
    [Abstract] [Full Text] [Related]

  • 14. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
    Kaur H, Raghava GP.
    Bioinformatics; 2004 Nov 01; 20(16):2751-8. PubMed ID: 15145798
    [Abstract] [Full Text] [Related]

  • 15. PSLpred: prediction of subcellular localization of bacterial proteins.
    Bhasin M, Garg A, Raghava GP.
    Bioinformatics; 2005 May 15; 21(10):2522-4. PubMed ID: 15699023
    [Abstract] [Full Text] [Related]

  • 16. CTKPred: an SVM-based method for the prediction and classification of the cytokine superfamily.
    Huang N, Chen H, Sun Z.
    Protein Eng Des Sel; 2005 Aug 15; 18(8):365-8. PubMed ID: 15980017
    [Abstract] [Full Text] [Related]

  • 17. LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST.
    Xie D, Li A, Wang M, Fan Z, Feng H.
    Nucleic Acids Res; 2005 Jul 01; 33(Web Server issue):W105-10. PubMed ID: 15980436
    [Abstract] [Full Text] [Related]

  • 18. SecretP: a new method for predicting mammalian secreted proteins.
    Yu L, Guo Y, Zhang Z, Li Y, Li M, Li G, Xiong W, Zeng Y.
    Peptides; 2010 Apr 01; 31(4):574-8. PubMed ID: 20045033
    [Abstract] [Full Text] [Related]

  • 19. SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes.
    Kandaswamy KK, Pugalenthi G, Hartmann E, Kalies KU, Möller S, Suganthan PN, Martinetz T.
    Biochem Biophys Res Commun; 2010 Jan 15; 391(3):1306-11. PubMed ID: 19995554
    [Abstract] [Full Text] [Related]

  • 20. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST.
    Bhasin M, Raghava GP.
    Nucleic Acids Res; 2004 Jul 01; 32(Web Server issue):W414-9. PubMed ID: 15215421
    [Abstract] [Full Text] [Related]

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