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Pregled bibliografske jedinice broj: 866237

Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain


Kozić, Mara; Vukičević, Damir; Simunić, Juraj; Rončević, Tomislav; Antcheva, Nikolinka; Tossi, Alessandro; Juretić, Davor
Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain // Journal of chemical information and modeling, 55 (2015), 10; 2275-2287 doi:10.1021/acs.jcim.5b00161 (međunarodna recenzija, članak, znanstveni)


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Naslov
Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain

Autori
Kozić, Mara ; Vukičević, Damir ; Simunić, Juraj ; Rončević, Tomislav ; Antcheva, Nikolinka ; Tossi, Alessandro ; Juretić, Davor

Izvornik
Journal of chemical information and modeling (1549-9596) 55 (2015), 10; 2275-2287

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Antimicrobial peptides, Rana box, MIC prediction

Sažetak
The global spreading of multidrug resistance has motivated the search for new antibiotic classes including different types of antimicrobial peptides (AMPs). Computational methods for predicting activity in terms of the minimal inhibitory concentration (MIC) of AMPs can facilitate “in silico” design and reduce the cost of synthesis and testing. We have used an original method for separating training and test data sets, both of which contain the sequences and measured MIC values of non-homologous anuran peptides having the Rana-box disulfide motif at their C-terminus. Using a more flexible profiling methodology (sideways asymmetry moment, SAM) than the standard hydrophobic moment, we have developed a two-descriptor model to predict the bacteriostatic activity of Rana-box peptides against Gram-negative bacteria—the first multilinear quantitative structure–activity relationship model capable of predicting MIC values for AMPs of widely different lengths and low identity using such a small number of descriptors. Maximal values for SAMs, as defined and calculated in our method, furthermore offer new structural insight into how different segments of a peptide contribute to its bacteriostatic activity, and this work lays the foundations for the design of active artificial AMPs with this type of disulfide bridge.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Kemija, Biologija, Interdisciplinarne prirodne znanosti



POVEZANOST RADA


Ustanove
Prirodoslovno-matematički fakultet, Split,
Mediteranski institut za istraživanje života

Citiraj ovu publikaciju

Kozić, Mara; Vukičević, Damir; Simunić, Juraj; Rončević, Tomislav; Antcheva, Nikolinka; Tossi, Alessandro; Juretić, Davor
Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain // Journal of chemical information and modeling, 55 (2015), 10; 2275-2287 doi:10.1021/acs.jcim.5b00161 (međunarodna recenzija, članak, znanstveni)
Kozić, M., Vukičević, D., Simunić, J., Rončević, T., Antcheva, N., Tossi, A. & Juretić, D. (2015) Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain. Journal of chemical information and modeling, 55 (10), 2275-2287 doi:10.1021/acs.jcim.5b00161.
@article{article, year = {2015}, pages = {2275-2287}, DOI = {10.1021/acs.jcim.5b00161}, keywords = {Antimicrobial peptides, Rana box, MIC prediction}, journal = {Journal of chemical information and modeling}, doi = {10.1021/acs.jcim.5b00161}, volume = {55}, number = {10}, issn = {1549-9596}, title = {Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain}, keyword = {Antimicrobial peptides, Rana box, MIC prediction} }

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


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