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Pregled bibliografske jedinice broj: 343418

Predicting the therapeutic index of peptide antibiotics


Juretić, Davor; Bojović, Viktor; Lučić, Bono; Ilić, Nada
Predicting the therapeutic index of peptide antibiotics // Third Austrian-Croatian Science Days, Grac, Austrija, listopad 2007
Graz, Austrija, 2007. (poster, nije recenziran, sažetak, znanstveni)


CROSBI ID: 343418 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Predicting the therapeutic index of peptide antibiotics

Autori
Juretić, Davor ; Bojović, Viktor ; Lučić, Bono ; Ilić, Nada

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

Izvornik
Third Austrian-Croatian Science Days, Grac, Austrija, listopad 2007 / - , 2007

Skup
Third Austrian-Croatian Science Days

Mjesto i datum
Graz, Austrija, 18.10.2007. - 19.10.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Nije recenziran

Ključne riječi
peptide antibiotics; peptide toxins; therapeutic index

Sažetak
Huge increase of antibiotical usage in the average human lifespan, the ever-increasing prevalence of antibiotic resistance and almost empty antibiotic pipelines of the pharmaceutical industry, created a great need for new antibiotics. Antimicrobial peptides (AMP) are evolutionary ancient weapons.Every single multicellular organism examined up to day posses AMPs which they use to fend off bacteria. AMPs target “ microbial Achilles heel” , a design features of microbial membranes that are specific for prokaryotic cells.To design novel AMP antibiotics we must learn to appreciate the design principles that natural AMPs can teach us. In this work we use sequence attributes such as peptide preference to enter membrane, its maximal hydrophobic moment and amino acid frequencies to estimate peptide therapeutic index. The present work is only the first step in attempts to discover sequence features which can distinguish peptide antibiotics from peptide toxins. Even so, it opens doors to proteome scanning or to peptide design with a goal to find novel peptide antibiotics different from all known antibiotics.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Biologija



POVEZANOST RADA


Projekti:
098-1770495-2919 - Razvoj metoda za modeliranje svojstava bioaktivnih molekula i proteina (Lučić, Bono, MZOS ) ( CroRIS)
177-1770495-0476 - Razvoj i primjene principa maksimalne proizvodnje entropije (Juretić, Davor, MZOS ) ( CroRIS)

Ustanove:
Institut "Ruđer Bošković", Zagreb,
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Viktor Bojović (autor)

Avatar Url Nada Ilić (autor)

Avatar Url Bono Lučić (autor)

Avatar Url Davor Juretić (autor)


Citiraj ovu publikaciju:

Juretić, Davor; Bojović, Viktor; Lučić, Bono; Ilić, Nada
Predicting the therapeutic index of peptide antibiotics // Third Austrian-Croatian Science Days, Grac, Austrija, listopad 2007
Graz, Austrija, 2007. (poster, nije recenziran, sažetak, znanstveni)
Juretić, D., Bojović, V., Lučić, B. & Ilić, N. (2007) Predicting the therapeutic index of peptide antibiotics. U: Third Austrian-Croatian Science Days, Grac, Austrija, listopad 2007.
@article{article, author = {Jureti\'{c}, Davor and Bojovi\'{c}, Viktor and Lu\v{c}i\'{c}, Bono and Ili\'{c}, Nada}, year = {2007}, keywords = {peptide antibiotics, peptide toxins, therapeutic index}, title = {Predicting the therapeutic index of peptide antibiotics}, keyword = {peptide antibiotics, peptide toxins, therapeutic index}, publisherplace = {Graz, Austrija} }
@article{article, author = {Jureti\'{c}, Davor and Bojovi\'{c}, Viktor and Lu\v{c}i\'{c}, Bono and Ili\'{c}, Nada}, year = {2007}, keywords = {peptide antibiotics, peptide toxins, therapeutic index}, title = {Predicting the therapeutic index of peptide antibiotics}, keyword = {peptide antibiotics, peptide toxins, therapeutic index}, publisherplace = {Graz, Austrija} }




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