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Pregled bibliografske jedinice broj: 667279

Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB)


Diminić, Janko; Žučko, Jurica; Trninić Ruzić, Ida; Gačeša, Ranko; Hranueli, Daslav; Long, Paul F.; Cullum, John; Starčević, Antonio
Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB) // Journal of industrial microbiology & biotechnology, 40 (2013), 6; 653-659 doi:10.1007/s10295-013-1252-z (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 667279 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB)

Autori
Diminić, Janko ; Žučko, Jurica ; Trninić Ruzić, Ida ; Gačeša, Ranko ; Hranueli, Daslav ; Long, Paul F. ; Cullum, John ; Starčević, Antonio

Izvornik
Journal of industrial microbiology & biotechnology (1367-5435) 40 (2013), 6; 653-659

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
polyketide synthases; non-ribosomal synthetases; hybrid compounds; ClustScan; ClustScan database; predict annotation; modeling

Sažetak
Modular biosynthetic clusters are responsible for the synthesis of many important pharmaceutical products. They include polyketide synthases (PKS clusters), non-ribosomal synthetases (NRPS clusters), and mixed clusters (containing both PKS and NRPS modules). The ClustScan database (CSDB) contains highly annotated descriptions of 170 clusters. The database has a hierarchical organization, which allows easy extraction of DNA and protein sequences of polypeptides, modules, and domains as well as an organization of the annotation so as to be able to predict the product chemistry to view it or export it in a standard SMILES format. The recombinant ClustScan database contains information about predicted recombinants between PKS clusters. The recombinants are generated by modeling homologous recombination and are associated with annotation and prediction of product chemistry automatically generated by the model. The database contains over 20, 000 recombinants and is a resource for in silico approaches to detecting promising new compounds. Methods are available to construct the corresponding recombinants in the laboratory.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija



POVEZANOST RADA


Projekti:
058-0000000-3475 - Generiranje potencijalnih lijekova u uvjetima in silico (Hranueli/Jurica Žučko, Daslav, MZOS ) ( CroRIS)

Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi link.springer.com

Citiraj ovu publikaciju:

Diminić, Janko; Žučko, Jurica; Trninić Ruzić, Ida; Gačeša, Ranko; Hranueli, Daslav; Long, Paul F.; Cullum, John; Starčević, Antonio
Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB) // Journal of industrial microbiology & biotechnology, 40 (2013), 6; 653-659 doi:10.1007/s10295-013-1252-z (međunarodna recenzija, članak, znanstveni)
Diminić, J., Žučko, J., Trninić Ruzić, I., Gačeša, R., Hranueli, D., Long, P., Cullum, J. & Starčević, A. (2013) Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB). Journal of industrial microbiology & biotechnology, 40 (6), 653-659 doi:10.1007/s10295-013-1252-z.
@article{article, author = {Dimini\'{c}, Janko and \v{Z}u\v{c}ko, Jurica and Trnini\'{c} Ruzi\'{c}, Ida and Ga\v{c}e\v{s}a, Ranko and Hranueli, Daslav and Long, Paul F. and Cullum, John and Star\v{c}evi\'{c}, Antonio}, year = {2013}, pages = {653-659}, DOI = {10.1007/s10295-013-1252-z}, keywords = {polyketide synthases, non-ribosomal synthetases, hybrid compounds, ClustScan, ClustScan database, predict annotation, modeling}, journal = {Journal of industrial microbiology and biotechnology}, doi = {10.1007/s10295-013-1252-z}, volume = {40}, number = {6}, issn = {1367-5435}, title = {Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB)}, keyword = {polyketide synthases, non-ribosomal synthetases, hybrid compounds, ClustScan, ClustScan database, predict annotation, modeling} }
@article{article, author = {Dimini\'{c}, Janko and \v{Z}u\v{c}ko, Jurica and Trnini\'{c} Ruzi\'{c}, Ida and Ga\v{c}e\v{s}a, Ranko and Hranueli, Daslav and Long, Paul F. and Cullum, John and Star\v{c}evi\'{c}, Antonio}, year = {2013}, pages = {653-659}, DOI = {10.1007/s10295-013-1252-z}, keywords = {polyketide synthases, non-ribosomal synthetases, hybrid compounds, ClustScan, ClustScan database, predict annotation, modeling}, journal = {Journal of industrial microbiology and biotechnology}, doi = {10.1007/s10295-013-1252-z}, volume = {40}, number = {6}, issn = {1367-5435}, title = {Databases of the Thiotemplate Modular Systems (CSDB) and their in silico recombinants (r-CSDB)}, keyword = {polyketide synthases, non-ribosomal synthetases, hybrid compounds, ClustScan, ClustScan database, predict annotation, modeling} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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