Cherkasov A - Search Results

1

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. Jenssen H, et al. Among authors: cherkasov a. Chem Biol Drug Des. 2007 Aug;70(2):134-42. doi: 10.1111/j.1747-0285.2007.00543.x. Chem Biol Drug Des. 2007. PMID: 17683374

2

Evidence that plant-like genes in Chlamydia species reflect an ancestral relationship between Chlamydiaceae, cyanobacteria, and the chloroplast.

Brinkman FS, Blanchard JL, Cherkasov A, Av-Gay Y, Brunham RC, Fernandez RC, Finlay BB, Otto SP, Ouellette BF, Keeling PJ, Rose AM, Hancock RE, Jones SJ, Greberg H. Brinkman FS, et al. Among authors: cherkasov a. Genome Res. 2002 Aug;12(8):1159-67. doi: 10.1101/gr.341802. Genome Res. 2002. PMID: 12176923 Free PMC article.

3

AMPer: a database and an automated discovery tool for antimicrobial peptides.

Fjell CD, Hancock RE, Cherkasov A. Fjell CD, et al. Among authors: cherkasov a. Bioinformatics. 2007 May 1;23(9):1148-55. doi: 10.1093/bioinformatics/btm068. Epub 2007 Mar 6. Bioinformatics. 2007. PMID: 17341497

4

QSAR modeling and computer-aided design of antimicrobial peptides.

Jenssen H, Fjell CD, Cherkasov A, Hancock RE. Jenssen H, et al. Among authors: cherkasov a. J Pept Sci. 2008 Jan;14(1):110-4. doi: 10.1002/psc.908. J Pept Sci. 2008. PMID: 17847019

5

Application of 'inductive' QSAR descriptors for quantification of antibacterial activity of cationic polypeptides.

Cherkasov A, Jankovic B. Cherkasov A, et al. Molecules. 2004 Dec 31;9(12):1034-52. doi: 10.3390/91201034. Molecules. 2004. PMID: 18007503 Free PMC article.

6

Identification of novel host defense peptides and the absence of alpha-defensins in the bovine genome.

Fjell CD, Jenssen H, Fries P, Aich P, Griebel P, Hilpert K, Hancock RE, Cherkasov A. Fjell CD, et al. Among authors: cherkasov a. Proteins. 2008 Nov 1;73(2):420-30. doi: 10.1002/prot.22059. Proteins. 2008. PMID: 18442133

7

Short linear cationic antimicrobial peptides: screening, optimizing, and prediction.

Hilpert K, Fjell CD, Cherkasov A. Hilpert K, et al. Among authors: cherkasov a. Methods Mol Biol. 2008;494:127-59. doi: 10.1007/978-1-59745-419-3_8. Methods Mol Biol. 2008. PMID: 18726572

8

Use of artificial intelligence in the design of small peptide antibiotics effective against a broad spectrum of highly antibiotic-resistant superbugs.

Cherkasov A, Hilpert K, Jenssen H, Fjell CD, Waldbrook M, Mullaly SC, Volkmer R, Hancock RE. Cherkasov A, et al. ACS Chem Biol. 2009 Jan 16;4(1):65-74. doi: 10.1021/cb800240j. ACS Chem Biol. 2009. PMID: 19055425

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. Fjell CD, et al. Among authors: cherkasov a. J Med Chem. 2009 Apr 9;52(7):2006-15. doi: 10.1021/jm8015365. J Med Chem. 2009. PMID: 19296598

10

Optimization of antibacterial peptides by genetic algorithms and cheminformatics.

Fjell CD, Jenssen H, Cheung WA, Hancock RE, Cherkasov A. Fjell CD, et al. Among authors: cherkasov a. Chem Biol Drug Des. 2011 Jan;77(1):48-56. doi: 10.1111/j.1747-0285.2010.01044.x. Epub 2010 Oct 13. Chem Biol Drug Des. 2011. PMID: 20942839

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