Non-toxic antimicrobial peptide Hm-AMP2 from leech metagenome proteins identified by the gradient-boosting approach. (December 2022)
- Record Type:
- Journal Article
- Title:
- Non-toxic antimicrobial peptide Hm-AMP2 from leech metagenome proteins identified by the gradient-boosting approach. (December 2022)
- Main Title:
- Non-toxic antimicrobial peptide Hm-AMP2 from leech metagenome proteins identified by the gradient-boosting approach
- Authors:
- Grafskaia, Ekaterina N.
Pavlova, Elizaveta R.
Latsis, Ivan A.
Malakhova, Maja V.
Ivchenkov, Dmitrii V.
Bashkirov, Pavel V.
Kot, Erik F.
Mineev, Konstantin S.
Arseniev, Alexander S.
Klinov, Dmitry V.
Lazarev, Vassili N. - Abstract:
- Graphical abstract: Highlights: · Gradient boosting approach to identify non-toxic AMPs from the medicinal leech metagenome protein database was implemented. · Hm-AMP2 displays low cytotoxic and hemolytic effects and kills various bacteria (4.6-18.5μM) by a membrane disturbance. · The critical role of electrostatic interaction in displaying Hm-AMP2 activity toward different lipid bilayers was confirmed. · CD analysis proved Hm-AMP2 exhibits LPS binding ability with a dissociation constant of 50±30 nM calculated by MST method. Abstract: The number of infections caused by antibiotic-resistant pathogens is increasing alarmingly every year and will continue to grow. Antimicrobial peptides (AMPs) are considered new therapeutic agents for the effective combat against infectious diseases. We report the design of antimicrobial peptides derived from a database of leech metagenome proteins using a machine learning approach. Peptides with antimicrobial activity and reduced toxicity were identified by the CatBoost algorithm. Among them, Hm-AMP2 possesses the most promising application in practice, including antibacterial activity against both Gram-positive and Gram-negative bacteria, low cytotoxic and hemolytic effects. Hm-AMP2 kills various bacteria at low concentrations (4.6–18.5 μM) by the disruption of bacterial membranes. According to nuclear magnetic resonance analysis, the peptide adopts an α-helical structure in a membrane environment. Hm-AMP2 interacts with lipopolysaccharidesGraphical abstract: Highlights: · Gradient boosting approach to identify non-toxic AMPs from the medicinal leech metagenome protein database was implemented. · Hm-AMP2 displays low cytotoxic and hemolytic effects and kills various bacteria (4.6-18.5μM) by a membrane disturbance. · The critical role of electrostatic interaction in displaying Hm-AMP2 activity toward different lipid bilayers was confirmed. · CD analysis proved Hm-AMP2 exhibits LPS binding ability with a dissociation constant of 50±30 nM calculated by MST method. Abstract: The number of infections caused by antibiotic-resistant pathogens is increasing alarmingly every year and will continue to grow. Antimicrobial peptides (AMPs) are considered new therapeutic agents for the effective combat against infectious diseases. We report the design of antimicrobial peptides derived from a database of leech metagenome proteins using a machine learning approach. Peptides with antimicrobial activity and reduced toxicity were identified by the CatBoost algorithm. Among them, Hm-AMP2 possesses the most promising application in practice, including antibacterial activity against both Gram-positive and Gram-negative bacteria, low cytotoxic and hemolytic effects. Hm-AMP2 kills various bacteria at low concentrations (4.6–18.5 μM) by the disruption of bacterial membranes. According to nuclear magnetic resonance analysis, the peptide adopts an α-helical structure in a membrane environment. Hm-AMP2 interacts with lipopolysaccharides of different bacteria according to microscale thermophoresis and CD spectroscopy analysis. This effect can play a role in the first defense against the organism's bacterial invasion. The computational approach developed for the identification of AMP can be useful for the rational design of effective non-toxic peptide antibiotics. … (more)
- Is Part Of:
- Materials & design. Volume 224(2022)
- Journal:
- Materials & design
- Issue:
- Volume 224(2022)
- Issue Display:
- Volume 224, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 224
- Issue:
- 2022
- Issue Sort Value:
- 2022-0224-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Antimicrobial peptides -- Medicinal leech -- Non-toxic effect -- Gradient boosting algorithm
Materials -- Periodicals
Engineering design -- Periodicals
Matériaux -- Périodiques
Conception technique -- Périodiques
Electronic journals
620.11 - Journal URLs:
- http://catalog.hathitrust.org/api/volumes/oclc/9062775.html ↗
http://www.sciencedirect.com/science/journal/02641275 ↗
http://www.sciencedirect.com/science/journal/02613069 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.matdes.2022.111364 ↗
- Languages:
- English
- ISSNs:
- 0264-1275
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5393.974000
British Library DSC - BLDSS-3PM
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- 24704.xml