Pregled bibliografske jedinice broj: 343418
Predicting the therapeutic index of peptide antibiotics
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