Prediction of Antimicrobial Activity of Synthetic Peptides by a Decision Tree Model

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Bibliographic Details
Published in:Applied and Environmental Microbiology 2013-05, Vol.79 (10), p.3156-3159
Main Authors: LIRA, Felipe, PEREZ, Pedro S, BARANAUSKAS, Jose A, NOZAWA, Sérgio R
Format: Article
Language:English
Subjects:
Algorithms
Amino Acid Sequence
Animals
Antibiotics
Antimicrobial Cationic Peptides - chemical synthesis
Antimicrobial Cationic Peptides - chemistry
Antimicrobial Cationic Peptides - genetics
Antimicrobial Cationic Peptides - pharmacology
Bacteria
Biological and medical sciences
Characidae - genetics
Computational Biology - methods
Computer Simulation
Databases, Protein
Decision Trees
Escherichia coli
Escherichia coli - drug effects
Fundamental and applied biological sciences. Psychology
Gene Library
Hydrophobic and Hydrophilic Interactions
Microbial Sensitivity Tests
Microbiology
Mutagenesis, Site-Directed
Mutation
Peptides
Public health
Public Health Microbiology
Staphylococcus aureus - drug effects
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Summary:Classifications Services AEM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit StumbleUpon Twitter current issue Spotlights in the Current Issue AEM About AEM Subscribers Authors Reviewers Advertisers Inquiries from the Press Permissions & Commercial Reprints ASM Journals Public Access Policy AEM RSS Feeds 1752 N Street N.W. • Washington DC 20036 202.737.3600 • 202.942.9355 fax • journals@asmusa.org Print ISSN: 0099-2240 Online ISSN: 1098-5336 Copyright © 2014 by the American Society for Microbiology.   For an alternate route to AEM .asm.org, visit: AEM       
ISSN:0099-2240
1098-5336
1098-6596
DOI:10.1128/AEM.02804-12