Pregled bibliografske jedinice broj: 1012695
Design of α-helical antimicrobial peptides with a high selectivity index
Design of α-helical antimicrobial peptides with a high selectivity index // Expert Opinion on Drug Discovery, 14 (2019), 10; 1053-1063 doi:10.1080/17460441.2019.1642322 (međunarodna recenzija, članak, znanstveni)
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Naslov
Design of α-helical antimicrobial peptides with a
high selectivity index
Autori
Juretić, Davor ; Simunić, Juraj
Izvornik
Expert Opinion on Drug Discovery (1746-0441) 14
(2019), 10;
1053-1063
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
antimicrobial peptides ; selectivity index ; drug design
Sažetak
Introduction: Low-molecular-weight antibiotics are gradually rendered ineffective by multidrug-resistant bacteria. Promising replacements are fast-acting antimicrobial peptides, either found as host defense peptides or designed, but their main weakness in applications is low selectivity for bacterial cells. Areas covered: This paper explores how much human design has improved the evolutionary design for linear alpha-class antimicrobial peptides with a selective antibacterial activity. Activity data against E. coli and S. aureus are collected from numerous publications reporting the hemolytic activity as well. Overall performance parameters are defined for easier ranking of best-performing peptides. Expert opinion: Connecting structure to the specific activity of antimicrobial peptides should include considerations of which peptide features channel adaptable conformational changes toward pore-inducing interactions with anionic membranes. Imperfect amphipathicity, enhanced flexibility, self- assembly potential, and an oblique, only partially helical structure, can improve structure-activity and structure- selectivity relationships. The number of optimal combinations of antimicrobial activity and low toxicity are immense when dedicated databases are constructed, the best descriptors extracted and followed through model building, simulations, and selectivity predictions, with everything tightly connected to feedback cycles of in vitro testing.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Interdisciplinarne prirodne znanosti
POVEZANOST RADA
Ustanove:
Institut "Ruđer Bošković", Zagreb,
Prirodoslovno-matematički fakultet, Split,
Mediteranski institut za istraživanje života
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE