dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
about
N-Acetyl-l-Cysteine and Cysteamine as New Strategies against Mixed Biofilms of Nonencapsulated Streptococcus pneumoniae and Nontypeable Haemophilus influenzae.Identification of apolipoprotein using feature selection technique.Myticalins: A Novel Multigenic Family of Linear, Cationic Antimicrobial Peptides from Marine Mussels (Mytilus spp.).AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest.
P2860
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
description
2016 nî lūn-bûn
@nan
2016 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@ast
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@en
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@nl
type
label
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@ast
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@en
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@nl
prefLabel
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@ast
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@en
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@nl
P2093
P2860
P3181
P356
P1433
P1476
dPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides
@en
P2093
Anshu Bhardwaj
Arun Sharma
Pooja Gupta
Rakesh Kumar
P2860
P2888
P3181
P356
10.1038/SREP21839
P407
P577
2016-02-25T00:00:00Z
P5875
P6179
1013851857