AMPA: an automated web server for prediction of protein antimicrobial regions.
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The Plant Peptidome: An Expanding Repertoire of Structural Features and Biological FunctionsExploring new biological functions of amyloids: bacteria cell agglutination mediated by host protein aggregationC-PAmP: large scale analysis and database construction containing high scoring computationally predicted antimicrobial peptides for all the available plant speciesAnalysis and prediction of the critical regions of antimicrobial peptides based on conditional random fieldsTwo human host defense ribonucleases against mycobacteria, the eosinophil cationic protein (RNase 3) and RNase 7Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.Differential sensitivity to infections and antimicrobial peptide-mediated immune response in four silkworm strains with different geographical origin.New milk protein-derived peptides with potential antimicrobial activity: an approach based on bioinformatic studies.Probing protein sequences as sources for encrypted antimicrobial peptidesGenome-wide identification of antimicrobial peptides in the liver fluke, Clonorchis sinensisSpecific pools of endogenous peptides are present in gametophore, protonema, and protoplast cells of the moss Physcomitrella patens.Insights into the Antimicrobial Mechanism of Action of Human RNase6: Structural Determinants for Bacterial Cell Agglutination and Membrane Permeation.Database-Guided Discovery of Potent Peptides to Combat HIV-1 or SuperbugsA Novel RNase 3/ECP Peptide for Pseudomonas aeruginosa Biofilm Eradication That Combines Antimicrobial, Lipopolysaccharide Binding, and Cell-Agglutinating Activities.New trends in peptide-based anti-biofilm strategies: a review of recent achievements and bioinformatic approaches.Antimicrobial peptides: an alternative for innovative medicines?Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides.Myticalins: A Novel Multigenic Family of Linear, Cationic Antimicrobial Peptides from Marine Mussels (Mytilus spp.).Empirical comparison of web-based antimicrobial peptide prediction tools.Computational resources and tools for antimicrobial peptides.New Potent Membrane-Targeting Antibacterial Peptides from Viral Capsid Proteins.IRGB10 Liberates Bacterial Ligands for Sensing by the AIM2 and Caspase-11-NLRP3 Inflammasomes.AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50).Antimicrobial Protein Candidates from the Thermophilic Geobacillus sp. Strain ZGt-1: Production, Proteomics, and Bioinformatics Analysis.New Genes and Functional Innovation in Mammals.Mining viral proteins for antimicrobial and cell-penetrating drug delivery peptides.The rumen microbiome: an underexplored resource for novel antimicrobial discovery.Vipericidins: a novel family of cathelicidin-related peptides from the venom gland of South American pit vipers.Antimicrobial peptides in the centipede Scolopendra subspinipes mutilans.Ribonucleases as a host-defence family: evidence of evolutionarily conserved antimicrobial activity at the N-terminus.Designing Antibacterial Peptides with Enhanced Killing Kinetics.
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P2860
AMPA: an automated web server for prediction of protein antimicrobial regions.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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name
AMPA: an automated web server for prediction of protein antimicrobial regions.
@en
AMPA: an automated web server for prediction of protein antimicrobial regions.
@nl
type
label
AMPA: an automated web server for prediction of protein antimicrobial regions.
@en
AMPA: an automated web server for prediction of protein antimicrobial regions.
@nl
prefLabel
AMPA: an automated web server for prediction of protein antimicrobial regions.
@en
AMPA: an automated web server for prediction of protein antimicrobial regions.
@nl
P2093
P2860
P50
P356
P1433
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AMPA: an automated web server for prediction of protein antimicrobial regions.
@en
P2093
David Andreu
David Pulido
M Victòria Nogués
P2860
P304
P356
10.1093/BIOINFORMATICS/BTR604
P407
P577
2011-11-03T00:00:00Z