Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application
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Title
Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application
Authors
Keywords
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Journal
BIOPOLYMERS
Volume 98, Issue 4, Pages 280-287
Publisher
Wiley
Online
2012-04-10
DOI
10.1002/bip.22066
References
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Related references
Note: Only part of the references are listed.- Strategies for the Discovery and Advancement of Novel Cationic Antimicrobial Peptides
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- (2011) Marc Torrent et al. PLoS One
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- CD-HIT Suite: a web server for clustering and comparing biological sequences
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- Current trends in antimicrobial agent research: chemo- and bioinformatics approaches
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- Antimicrobial peptides from marine invertebrates as a new frontier for microbial infection control
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- Ongoing and future developments at the Universal Protein Resource
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- Infrastructure for the life sciences: design and implementation of the UniProt website
- (2009) Eric Jain et al. BMC BIOINFORMATICS
- Computational Design of Highly Selective Antimicrobial Peptides
- (2009) Davor Juretić et al. Journal of Chemical Information and Modeling
- Identification of Novel Antibacterial Peptides by Chemoinformatics and Machine Learning†
- (2009) Christopher D. Fjell et al. JOURNAL OF MEDICINAL CHEMISTRY
- CAMP: a useful resource for research on antimicrobial peptides
- (2009) Shaini Thomas et al. NUCLEIC ACIDS RESEARCH
- Membrane interactions of designed cationic antimicrobial peptides: The two thresholds
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- APD2: the updated antimicrobial peptide database and its application in peptide design
- (2008) Guangshun Wang et al. NUCLEIC ACIDS RESEARCH
- Antimicrobial peptides and bacteriocins: alternatives to traditional antibiotics
- (2008) Yongming Sang et al. ANIMAL HEALTH RESEARCH REVIEWS
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