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Journal Abstract Search

372 related items for PubMed ID: 20094859

  • 1. Methods for building quantitative structure-activity relationship (QSAR) descriptors and predictive models for computer-aided design of antimicrobial peptides.
    Taboureau O.
    Methods Mol Biol; 2010; 618():77-86. PubMed ID: 20094859
    [Abstract] [Full Text] [Related]

  • 2. Computer-based analysis, visualization, and interpretation of antimicrobial peptide activities.
    Mikut R.
    Methods Mol Biol; 2010; 618():287-99. PubMed ID: 20094871
    [Abstract] [Full Text] [Related]

  • 3. Short linear cationic antimicrobial peptides: screening, optimizing, and prediction.
    Hilpert K, Fjell CD, Cherkasov A.
    Methods Mol Biol; 2008; 494():127-59. PubMed ID: 18726572
    [Abstract] [Full Text] [Related]

  • 4. QSAR modeling and computer-aided design of antimicrobial peptides.
    Jenssen H, Fjell CD, Cherkasov A, Hancock RE.
    J Pept Sci; 2008 Jan; 14(1):110-4. PubMed ID: 17847019
    [Abstract] [Full Text] [Related]

  • 5. Optimizing antimicrobial host defense peptides.
    Sahl HG.
    Chem Biol; 2006 Oct; 13(10):1015-7. PubMed ID: 17052605
    [Abstract] [Full Text] [Related]

  • 6. Design of novispirin antimicrobial peptides by quantitative structure-activity relationship.
    Taboureau O, Olsen OH, Nielsen JD, Raventos D, Mygind PH, Kristensen HH.
    Chem Biol Drug Des; 2006 Jul; 68(1):48-57. PubMed ID: 16923026
    [Abstract] [Full Text] [Related]

  • 7. Sequence requirements and an optimization strategy for short antimicrobial peptides.
    Hilpert K, Elliott MR, Volkmer-Engert R, Henklein P, Donini O, Zhou Q, Winkler DF, Hancock RE.
    Chem Biol; 2006 Oct; 13(10):1101-7. PubMed ID: 17052614
    [Abstract] [Full Text] [Related]

  • 8. Improving on nature's defenses: optimization & high throughput screening of antimicrobial peptides.
    Raventós D, Taboureau O, Mygind PH, Nielsen JD, Sonksen CP, Kristensen HH.
    Comb Chem High Throughput Screen; 2005 May; 8(3):219-33. PubMed ID: 15892624
    [Abstract] [Full Text] [Related]

  • 9. Identification of novel antibacterial peptides by chemoinformatics and machine learning.
    Fjell CD, Jenssen H, Hilpert K, Cheung WA, Panté N, Hancock RE, Cherkasov A.
    J Med Chem; 2009 Apr 09; 52(7):2006-15. PubMed ID: 19296598
    [Abstract] [Full Text] [Related]

  • 10. The expanding scope of antimicrobial peptide structures and their modes of action.
    Nguyen LT, Haney EF, Vogel HJ.
    Trends Biotechnol; 2011 Sep 09; 29(9):464-72. PubMed ID: 21680034
    [Abstract] [Full Text] [Related]

  • 11. Coupling molecular dynamics simulations with experiments for the rational design of indolicidin-analogous antimicrobial peptides.
    Tsai CW, Hsu NY, Wang CH, Lu CY, Chang Y, Tsai HH, Ruaan RC.
    J Mol Biol; 2009 Sep 25; 392(3):837-54. PubMed ID: 19576903
    [Abstract] [Full Text] [Related]

  • 12. Evaluating different descriptors for model design of antimicrobial peptides with enhanced activity toward P. aeruginosa.
    Jenssen H, Lejon T, Hilpert K, Fjell CD, Cherkasov A, Hancock RE.
    Chem Biol Drug Des; 2007 Aug 25; 70(2):134-42. PubMed ID: 17683374
    [Abstract] [Full Text] [Related]

  • 13. ST-scale as a novel amino acid descriptor and its application in QSAM of peptides and analogues.
    Yang L, Shu M, Ma K, Mei H, Jiang Y, Li Z.
    Amino Acids; 2010 Mar 25; 38(3):805-16. PubMed ID: 19373543
    [Abstract] [Full Text] [Related]

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  • 15. [Research progress on mechanism of antimicrobial peptides].
    Zhang XG, Fang C, Bai H, Zhou Y, Hou Z.
    Sheng Li Ke Xue Jin Zhan; 2011 Feb 25; 42(1):11-5. PubMed ID: 21595181
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  • 18. A linguistic model for the rational design of antimicrobial peptides.
    Loose C, Jensen K, Rigoutsos I, Stephanopoulos G.
    Nature; 2006 Oct 19; 443(7113):867-9. PubMed ID: 17051220
    [Abstract] [Full Text] [Related]

  • 19. Advances in antimicrobial peptide immunobiology.
    Yount NY, Bayer AS, Xiong YQ, Yeaman MR.
    Biopolymers; 2006 Oct 19; 84(5):435-58. PubMed ID: 16736494
    [Abstract] [Full Text] [Related]

  • 20. Quantitative sequence-activity modeling of antimicrobial hexapeptides using a segmented principal component strategy: an approach to describe and predict activities of peptide drugs containing L/D and unnatural residues.
    Yousefinejad S, Bagheri M, Moosavi-Movahedi AA.
    Amino Acids; 2015 Jan 19; 47(1):125-34. PubMed ID: 25323737
    [Abstract] [Full Text] [Related]

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