Protein Structure 2012
DOI: 10.5772/38023
|View full text |Cite
|
Sign up to set email alerts
|

Prediction and Rational Design of Antimicrobial Peptides

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 41 publications
(70 reference statements)
1
3
0
Order By: Relevance
“…This agreed with TFE’s known properties for promoting helical structures in peptides [92,93]. Peptide secondary structure was observed by I-TASSER and it has been reported that increased helix propensity also increases antimicrobial potency [94]. AMPs having α-helices are magainin, cecropin and cathelicidin; however, they can perform their functions through interactions with intracellular targets or by disturbing cell processes, as well as inhibiting cell wall, nucleic acid or protein synthesis [95].…”
Section: Discussionsupporting
confidence: 80%
“…This agreed with TFE’s known properties for promoting helical structures in peptides [92,93]. Peptide secondary structure was observed by I-TASSER and it has been reported that increased helix propensity also increases antimicrobial potency [94]. AMPs having α-helices are magainin, cecropin and cathelicidin; however, they can perform their functions through interactions with intracellular targets or by disturbing cell processes, as well as inhibiting cell wall, nucleic acid or protein synthesis [95].…”
Section: Discussionsupporting
confidence: 80%
“…Well-constructed AMP databases provide good foundations for AMP prediction. Several prediction approaches have been suggested in recent decades (Porto et al, 2012), using several algorithms (Liu et al, 2017) centered on several parameters. For example, CAMPR3 is developing predictive methods for AMPs that rely on machine learning algorithms such as the random forest (RF), discriminant analysis (DA), and support vector machines (SVMs) (Thomas et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…To this end, antimicrobial peptides (AMPs) are promising as: (1) they typically act by disrupting bacterial membranes instead of inhibiting cellular growth (an unconventional mode of action); (2) they are short and are therefore easy to synthesize; (3) they are biomolecules which naturally results in less environmental toxicity compared to conventional small molecule drugs 3 6 . Indeed, several AMPs are now in clinical use including ambicin (nisin), polymixin B and gramicidin S 7 , 8 . However, their therapeutic use has been limited by their cytotoxicity in mammalian cells or their ability to lyse eukaryotic cells 3 , 7 .…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, several AMPs are now in clinical use including ambicin (nisin), polymixin B and gramicidin S 7 , 8 . However, their therapeutic use has been limited by their cytotoxicity in mammalian cells or their ability to lyse eukaryotic cells 3 , 7 .…”
Section: Introductionmentioning
confidence: 99%