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Pregled bibliografske jedinice broj: 548286

Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides


Juretić, Davor; Vukičević, Damir; Petrov, Dražen; Novković, Mario; Ilić, Nada; Antcheva, Nikolinka; Tossi, Alessandro
Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides // Book of Abstracts AMP2010 / Juretić, Davor ; Separovic, Frances (ur.).
Split: Sveučilište u Splitu ; Prirodoslovno-matematički fakultet Sveučilišta u Splitu, 2010. str. 20-20 (pozvano predavanje, nije recenziran, sažetak, znanstveni)


CROSBI ID: 548286 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides

Autori
Juretić, Davor ; Vukičević, Damir ; Petrov, Dražen ; Novković, Mario ; Ilić, Nada ; Antcheva, Nikolinka ; Tossi, Alessandro

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts AMP2010 / Juretić, Davor ; Separovic, Frances - Split : Sveučilište u Splitu ; Prirodoslovno-matematički fakultet Sveučilišta u Splitu, 2010, 20-20

ISBN
978-953-7155-15-5

Skup
AMP2010: Australia-Croatia Workshop on Antimicrobial Peptides and Summer Aschool in Biophysics PhD Programme

Mjesto i datum
Split, Hrvatska, 09.08.2010. - 14.08.2010

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
antimicrobial peptides; design; computational

Sažetak
We shall describe two approaches for rapidly finding novel antibiotic peptide classes from animals also in view of the loss of such natural antibiotics due to accelerated species extinction. Both approaches are also designed to breach homology bottleneck when looking for promising lead peptide candidates for the development of peptide antibiotics. The first approach deals with identifying elusive selectivity properties of antimicrobial peptides as quantified by measured therapeutic index (TI). Introduced sequence moments has helped us to construct algorithms not only for predicting a TI from the primary structure in the case of natural amphibian peptides, but also for designing peptide antibiotics with optimized TI, non-homologous to any known natural or synthetic antimicrobial peptides. For one class of such antibiotics, the adepantins [1], we shall compare the theoretical predictions with experimental activity and selectivity results. The second approach allowed us to identify numerous novel putative antimicrobial peptides in the EST database, by applying our observation that, as a rule, specific subclasses of conserved signal sequences exist that are exclusively associated with antimicrobial peptides. As it turns out, at the present time this observation has been most useful for identifying novel amphibian and teleost antimicrobial peptides. We shall discuss these results, their implications, and experimental verifications. [1] D. Juretić, D. Vukičević, N. Ilić, N. Antcheva, A.Tossi, (2009) J Chem Inf Model 49, 2873.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Kemija, Biologija



POVEZANOST RADA


Projekti:
177-1770495-0476 - Razvoj i primjene principa maksimalne proizvodnje entropije (Juretić, Davor, MZOS ) ( CroRIS)

Ustanove:
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Damir Vukičević (autor)

Avatar Url Nada Ilić (autor)

Avatar Url Dražen Petrov (autor)

Avatar Url Davor Juretić (autor)


Citiraj ovu publikaciju:

Juretić, Davor; Vukičević, Damir; Petrov, Dražen; Novković, Mario; Ilić, Nada; Antcheva, Nikolinka; Tossi, Alessandro
Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides // Book of Abstracts AMP2010 / Juretić, Davor ; Separovic, Frances (ur.).
Split: Sveučilište u Splitu ; Prirodoslovno-matematički fakultet Sveučilišta u Splitu, 2010. str. 20-20 (pozvano predavanje, nije recenziran, sažetak, znanstveni)
Juretić, D., Vukičević, D., Petrov, D., Novković, M., Ilić, N., Antcheva, N. & Tossi, A. (2010) Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides. U: Juretić, D. & Separovic, F. (ur.)Book of Abstracts AMP2010.
@article{article, author = {Jureti\'{c}, Davor and Vuki\v{c}evi\'{c}, Damir and Petrov, Dra\v{z}en and Novkovi\'{c}, Mario and Ili\'{c}, Nada and Antcheva, Nikolinka and Tossi, Alessandro}, year = {2010}, pages = {20-20}, keywords = {antimicrobial peptides, design, computational}, isbn = {978-953-7155-15-5}, title = {Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides}, keyword = {antimicrobial peptides, design, computational}, publisher = {Sveu\v{c}ili\v{s}te u Splitu ; Prirodoslovno-matemati\v{c}ki fakultet Sveu\v{c}ili\v{s}ta u Splitu}, publisherplace = {Split, Hrvatska} }
@article{article, author = {Jureti\'{c}, Davor and Vuki\v{c}evi\'{c}, Damir and Petrov, Dra\v{z}en and Novkovi\'{c}, Mario and Ili\'{c}, Nada and Antcheva, Nikolinka and Tossi, Alessandro}, year = {2010}, pages = {20-20}, keywords = {antimicrobial peptides, design, computational}, isbn = {978-953-7155-15-5}, title = {Computational methods for using known antimicrobial peptide sequences to identify or design novel non-homologous peptides}, keyword = {antimicrobial peptides, design, computational}, publisher = {Sveu\v{c}ili\v{s}te u Splitu ; Prirodoslovno-matemati\v{c}ki fakultet Sveu\v{c}ili\v{s}ta u Splitu}, publisherplace = {Split, Hrvatska} }




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