Connecting peptide physicochemical and antimicrobial properties by a rational prediction model.
about
QSAR modeling: where have you been? Where are you going to?Exploring 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 highly effective antiviral peptides based on random forestsAnalysis and prediction of the critical regions of antimicrobial peptides based on conditional random fieldsTowards the rational design of antimicrobial proteins: single point mutations can switch on bactericidal and agglutinating activities on the RNase A superfamily lineage.Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranesProbing protein sequences as sources for encrypted antimicrobial peptidesCS-AMPPred: an updated SVM model for antimicrobial activity prediction in cysteine-stabilized peptides.Genome-wide identification of antimicrobial peptides in the liver fluke, Clonorchis sinensisPrediction and analysis of quorum sensing peptides based on sequence features.Introduction of a lysine residue promotes aggregation of temporin L in lipopolysaccharides and augmentation of its antiendotoxin property.Mapping membrane activity in undiscovered peptide sequence space using machine learning.Antimicrobial peptides: key components of the innate immune system.Lipopolysaccharide neutralization by antimicrobial peptides: a gambit in the innate host defense strategy.Evolutionary selection for protein aggregation.Is membrane homeostasis the missing link between inflammation and neurodegenerative diseases?Common and phylogenetically widespread coding for peptides by bacterial small RNAsAn unprecedented alteration in mode of action of IsCT resulting its translocation into bacterial cytoplasm and inhibition of macromolecular syntheses.Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships.Screening and Optimizing Antimicrobial Peptides by Using SPOT-Synthesis.Machine learning-enabled discovery and design of membrane-active peptides.Antimicrobial Protein Candidates from the Thermophilic Geobacillus sp. Strain ZGt-1: Production, Proteomics, and Bioinformatics Analysis.Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences.Design of a novel tryptophan-rich membrane-active antimicrobial peptide from the membrane-proximal region of the HIV glycoprotein, gp41.Prediction of IL4 inducing peptidesDistinct profiling of antimicrobial peptide familiesAVPpred: collection and prediction of highly effective antiviral peptides.Variation in synonymous codon usage in Paenibacillus sp. 32O-W genome.What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?AMPA: an automated web server for prediction of protein antimicrobial regions.Hydrocarbon-stapled lipopeptides exhibit selective antimicrobial activity.Antimicrobial peptides in the centipede Scolopendra subspinipes mutilans.Host Antimicrobial Peptides: The Promise of New Treatment Strategies against Tuberculosis.Recent trends in antimicrobial peptide prediction using machine learning techniques.Ribonucleases as a host-defence family: evidence of evolutionarily conserved antimicrobial activity at the N-terminus.Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application.A tentative taxonomy for predictive models in relation to their falsifiability.Towards an experimental classification system for membrane active peptides.The Amyloid Fibril-Forming Properties of the Amphibian Antimicrobial Peptide Uperin 3.5.
P2860
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P2860
Connecting peptide physicochemical and antimicrobial properties by a rational prediction model.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Connecting peptide physicochem ...... y a rational prediction model.
@ast
Connecting peptide physicochem ...... y a rational prediction model.
@en
type
label
Connecting peptide physicochem ...... y a rational prediction model.
@ast
Connecting peptide physicochem ...... y a rational prediction model.
@en
prefLabel
Connecting peptide physicochem ...... y a rational prediction model.
@ast
Connecting peptide physicochem ...... y a rational prediction model.
@en
P2860
P1433
P1476
Connecting peptide physicochem ...... y a rational prediction model.
@en
P2093
David Andreu
Victòria M Nogués
P2860
P304
P356
10.1371/JOURNAL.PONE.0016968
P407
P577
2011-02-09T00:00:00Z