380 related articles for article (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
[TBL] [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
[TBL] [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
[TBL] [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
[TBL] [Abstract][Full Text] [Related]
5. Optimizing antimicrobial host defense peptides.
Sahl HG
Chem Biol; 2006 Oct; 13(10):1015-7. PubMed ID: 17052605
[TBL] [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
[TBL] [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
[TBL] [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
[TBL] [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; 52(7):2006-15. PubMed ID: 19296598
[TBL] [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; 29(9):464-72. PubMed ID: 21680034
[TBL] [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; 392(3):837-54. PubMed ID: 19576903
[TBL] [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; 70(2):134-42. PubMed ID: 17683374
[TBL] [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; 38(3):805-16. PubMed ID: 19373543
[TBL] [Abstract][Full Text] [Related]
14. Comparative QSAR- and fragments distribution analysis of drugs, druglikes, metabolic substances, and antimicrobial compounds.
Karakoc E; Sahinalp SC; Cherkasov A
J Chem Inf Model; 2006; 46(5):2167-82. PubMed ID: 16995747
[TBL] [Abstract][Full Text] [Related]
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; 42(1):11-5. PubMed ID: 21595181
[TBL] [Abstract][Full Text] [Related]
16. Strategies for transformation of naturally-occurring amphibian antimicrobial peptides into therapeutically valuable anti-infective agents.
Conlon JM; Al-Ghaferi N; Abraham B; Leprince J
Methods; 2007 Aug; 42(4):349-57. PubMed ID: 17560323
[TBL] [Abstract][Full Text] [Related]
17. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
[TBL] [Abstract][Full Text] [Related]
18. A linguistic model for the rational design of antimicrobial peptides.
Loose C; Jensen K; Rigoutsos I; Stephanopoulos G
Nature; 2006 Oct; 443(7113):867-9. PubMed ID: 17051220
[TBL] [Abstract][Full Text] [Related]
19. Advances in antimicrobial peptide immunobiology.
Yount NY; Bayer AS; Xiong YQ; Yeaman MR
Biopolymers; 2006; 84(5):435-58. PubMed ID: 16736494
[TBL] [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; 47(1):125-34. PubMed ID: 25323737
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
