Predicting antimicrobial peptides from eukaryotic genomes: In silico strategies to develop antibiotics-Reference-Cited by-同舟云学术

Predicting antimicrobial peptides from eukaryotic genomes: In silico strategies to develop antibiotics

Published:2012-10 Issue:2 Volume:37 Page:301-308
ISSN:0196-9781
Container-title:Peptides
language:en
Short-container-title:Peptides

Author:

Amaral André C.,Silva Osmar N.,Mundim Nathália C.C.R.,de Carvalho Maria J.A.,Migliolo Ludovico,Leite Jose R.S.A.,Prates Maura V.,Bocca Anamélia L.,Franco Octávio L.,Felipe Maria S.S.

Funder

CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico)

CAPES

UCB

FAPDF

Publisher

Elsevier BV

Reference51 articles.

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3. Antimic: a database of antimicrobial sequences;Brahmachary;Nucleic Acids Res,2004

4. Genome based discovery, structure prediction and functional analysis of cyclic lipopeptide antibiotics in Pseudomonas species;Bruijn;Mol Microbiol,2007

5. Activity of novel non-amphipathic cationic antimicrobial peptides against Candida species;Burrows;J Antimicrob Chemother,2006

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