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Pregled bibliografske jedinice broj: 373199

Bioinformatic tools for mining large DNAS data sets


Hranueli, Daslav; Starčević, Antonio; Žučko, Jurica; Long, Paul F.; Cullum, John
Bioinformatic tools for mining large DNAS data sets // 4th Congress of the Slovenian Microbiological Society with International Participation : Microbiology for today : Book of abstracts / Darja Barlič-Maganja, Darja ; Raspor, Peter (ur.).
Ljubljana: Slovenian Microbiological Society, 2008. str. 139-139 (pozvano predavanje, nije recenziran, sažetak, znanstveni)


Naslov
Bioinformatic tools for mining large DNAS data sets

Autori
Hranueli, Daslav ; Starčević, Antonio ; Žučko, Jurica ; Long, Paul F. ; Cullum, John

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

Izvornik
4th Congress of the Slovenian Microbiological Society with International Participation : Microbiology for today : Book of abstracts / Darja Barlič-Maganja, Darja ; Raspor, Peter - Ljubljana : Slovenian Microbiological Society, 2008, 139-139

ISBN
978-961-90346-4-4

Skup
4th Congress of the Slovenian Microbiological Society with International Participation : Microbiology for today (4 ; 2008)

Mjesto i datum
Portorož, Slovenija, 19.-22.11.2008

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Polyketides; non-ribosomal peptides; Actinobacteria; metagenomes; genomes; gene clusters

Sažetak
The program package ClustScan is designed for rapid, semi-automatic, annotation of DNA sequences encoding modular biosynthetic enzymes including polyketide synthases (PKS), non-ribosomal peptide synthetases (NRPS) and hybrid (PKS/NRPS) enzymes. Potential protein coding regions and protein domains are identified by programs running on a server and the results are presented to the user in a graphical interface with a Java client program. The user can edit the results and assemble biosynthetic clusters. The versatility of this program package has been demonstrated by annotating biochemical pathways in microbial, invertebrate animal and metagenomic datasets. The novelty of ClustScan over existing computer programs is the automatic prediction of substrate activity and specificity, as well as steriochemical outcomes of biosynthetic pathways, allowing linear and cyclic chemical structures to be deduced in silico. The open architecture of ClustScan allows easy integration with other programs, facilitating further analyses of results, which would be of use to a broad range of researchers in the chemical and biological sciences. There are two main criteria for the usefulness of ClustScan. The accuracy of prediction and the speed and convenience of annotating large DNA data sets. The accuracy of prediction will be demonstrated using the well-known gene cluster encoding the erythromycin biosynthetic pathway. The speed and convenience of annotating large DNA data sets will also be demonstrated using genomic and metagenomic data sets. The modular biosynthetic clusters in an actinomycete genome sequence can be annotated by a single person in about 3 hours. The ClustScan program package will be demonstrated online during the meeting on reguest. To download ClustScan and access services, one should go to the Web site http://reg.bioserv.pbf.hr/. STARCEVIC, Antonio, ZUCKO, Jurica, SIMUNKOVIC, Jurica, LONG, F. Paul, CULLUM, John, HRANUELI, Daslav. ClustScan: Semi-automatic annotation of modular gene clusters and prediction of chemical structures. Nucleic Acids Res., 2008 (submitted). STARCEVIC, Antonio, AKTHAR, Shamima, DUNLAP, C. Walter, SHICK, J. Malcolm, HRANUELI, Daslav, CULLUM, John, LONG, F. Paul. Enzymes of the shikimic acid pathway encoded in the genome of a basal metazoan, Nematostella vectensis, have microbial origins. Proc. Natl. Acad. Sci. U.S.A., 105, 2533-2537, 2008. ZUCKO, Jurica, SKUNCA, Nives, CURK, Tomaz, ZUPAN, Blaz, LONG, F. Paul, CULLUM, John, KESSIN, Richard, HRANUELI, Daslav. Polyketide synthase genes and the natural products potential of Dictyostelium discoideum. Bioinformatics, 23, 2543– 2549, 2007.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Računarstvo, Biotehnologija



POVEZANOST RADA


Projekt / tema
058-0000000-3475 - Generiranje potencijalnih lijekova u uvjetima in silico (Daslav Hranueli, )
0982560

Ustanove
Prehrambeno-biotehnološki fakultet, Zagreb