prikaz prve stranice dokumenta From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products
  Preuzmi
PDF 397.23 KB
Znanstveni rad - Izvorni znanstveni rad
From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products
Food Technology and Biotechnology, 48 (2010), 2; 234-242. urn:nbn:hr:159:385570
Žučko, Jurica; Starčević, Antonio; Diminić, Janko; Elbekali, Mouhsine; Lisfi, Mohamed; Long, Paul F.; Cullum, John; Hranueli, Daslav

Citirajte ovaj rad

Žučko, J., Starčević, A., Diminić, J., Elbekali, M., Lisfi, M., Long, P. F. ... Hranueli, D.. From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products. Food Technology and Biotechnology, 48. (2), 234-242. Preuzeto s https://urn.nsk.hr/urn:nbn:hr:159:385570

Žučko, Jurica, et al. "From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products." Food Technology and Biotechnology, vol. 48, br. 2, str. 234-242. https://urn.nsk.hr/urn:nbn:hr:159:385570

Žučko, Jurica, Antonio Starčević, Janko Diminić, Mouhsine Elbekali, Mohamed Lisfi, Paul F. Long, John Cullum i Daslav Hranueli. "From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products." Food Technology and Biotechnology 48, br. 2 234-242. https://urn.nsk.hr/urn:nbn:hr:159:385570

Žučko, J., et al. 'From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products', Food Technology and Biotechnology, 48(2), str. 234-242. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:159:385570 (Datum pristupa: 18.04.2024.)

Žučko J, Starčević A, Diminić J, Elbekali M, Lisfi M, Long PF, i sur.. From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products. Food Technology and Biotechnology [Internet]. [pristupljeno 18.04.2024.];48(2):234-242. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:159:385570

J. Žučko, et al., "From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products", Food Technology and Biotechnology, vol. 48, br. 2, str. 234-242. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:159:385570. [Citirano: 18.04.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:159:385570
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)From DNA sequences to chemical structures – methods for mining microbial genomic and metagenomic data sets for new natural products
AutorJurica Žučko
AutorAntonio Starčević
AutorJanko Diminić
AutorMouhsine Elbekali
AutorMohamed Lisfi
AutorPaul F. Long
AutorJohn Cullum
AutorDaslav Hranueli
Autorova ustanovaSveučilište u Zagrebu
Prehrambeno-biotehnološki fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOTEHNIČKE ZNANOSTI
Biotehnologija
Sažetak (engleski)
Rapid mining of large genomic and metagenomic data sets for modular polyketide synthases, non-ribosomal peptide synthetases and hybrid polyketide synthase/non-ribosomal peptide synthetase biosynthetic gene clusters has been achieved using the generic computer program packages ClustScan and CompGen. These program packages perform the annotation with the hierarchical structuring into polypeptides, modules and domains, as well as storage and graphical presentations of the data. This aims to achieve the most accurate predictions of the activities and specificities of catalytically active domains that can be made with present knowledge, leading to a prediction of the most likely chemical structures produced by these enzymes. The program packages also allow generation of novel clusters by homologous recombination of the annotated genes in silico. ClustScan and CompGen were used to construct a custom database of known compounds (CSDB) and of predicted entirely novel recombinant products (r-CSDB) that can be used for in silico screening with computer-aided drug design technology. The use of these programs has been exemplified by analysing genomic sequences from terrestrial prokaryotes and eukaryotic microorganisms, a marine metagenomic data set and a newly discovered example of a 'shared metabolic pathway' in marine-microbial endosymbiosis.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaFood Technology and Biotechnology
Brojčani podacivol. 48, br. 2, str. 234-242
p-ISSN1330-9862
e-ISSN1334-2606
URN:NBNurn:nbn:hr:159:385570
Datum prihvaćanja za tisak2010-01-26
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Bez prerada 4.0 međunarodna (CC BY-ND 4.0)
Datum i vrijeme pohrane2019-02-22 08:09:39