ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding
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Title
ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding
Authors
Keywords
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Journal
BMC GENOMICS
Volume 21, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-08-28
DOI
10.1186/s12864-020-06978-0
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- (2016) Ernest Y. Lee et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- (2015) Yann LeCun et al. NATURE
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- (2015) Taeho Jo et al. Scientific Reports
- Effective Automated Feature Construction and Selection for Classification of Biological Sequences
- (2014) Uday Kamath et al. PLoS One
- iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
- (2013) Xuan Xiao et al. ANALYTICAL BIOCHEMISTRY
- Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application
- (2012) Fabiano C. Fernandes et al. BIOPOLYMERS
- Designing antimicrobial peptides: form follows function
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- Connecting Peptide Physicochemical and Antimicrobial Properties by a Rational Prediction Model
- (2011) Marc Torrent et al. PLoS One
- UniProt Knowledgebase: a hub of integrated protein data
- (2011) M. Magrane et al. Database-The Journal of Biological Databases and Curation
- AntiBP2: improved version of antibacterial peptide prediction
- (2010) Sneh Lata et al. BMC BIOINFORMATICS
- 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
- A Novel β-Defensin Structure: A Potential Strategy of Big Defensin for Overcoming Resistance by Gram-Positive Bacteria†‡
- (2008) Takahide Kouno et al. BIOCHEMISTRY
- Prediction of RNA binding sites in a protein using SVM and PSSM profile
- (2007) Manish Kumar et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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