Pregled bibliografske jedinice broj: 368917
ClustScan and CompGen program packages: Semi-automated tools for data mining and homologous recombination modelling
ClustScan and CompGen program packages: Semi-automated tools for data mining and homologous recombination modelling // Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications / Gamberger, Dragan (ur.).
Zagreb: Institut Ruđer Bošković, 2008. (predavanje, nije recenziran, sažetak, znanstveni)
CROSBI ID: 368917 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
ClustScan and CompGen program packages: Semi-automated tools for data mining and homologous recombination modelling
Autori
Starcevic, Antonio
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts - KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
/ Gamberger, Dragan - Zagreb : Institut Ruđer Bošković, 2008
Skup
KDSA 2008, Workshop on Knowledge Discovery in Scientific Applications
Mjesto i datum
Poreč, Hrvatska, 17.10.2008. - 19.10.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
ClustScan; CompGen; gene-clusters; annotation; data mining; homologous recombination
Sažetak
ClustScan program package is a bioinformatic tool developed mainly for the collection, storage and precise annotation of polyketide, non-ribosomal peptide and other modular biosynthetic gene cluster data hidden in continuously increasing number of sequenced genomes. On the other hand, CompGen relies on ClustScan's data in order to simulate homologous recombination events that might happen between gene clusters sequences. We have succeeded to incorporate published and propriety knowledge about modular biosythetic gene clusters in an artificial environment defined by a consistent set of rules. These rules were used for the interpretation of components roles in this environment. The components are the DNA and protein sequences coming from genomes or generated by various programs used by ClustScan. The rules are empirical facts collected from the relevant published scientific papers. As far as we are aware, this system is unique in being able to predict chemical structures from gene cluster DNA sequences and to use known natural products to generate novel "un-natural" ones by homologous recombination simulation. Our future efforts will be to make ClustScan program package more generic, making it able to scan for gene clusters other than modular ones. Secondly, using CompGen, we will create a database of novel compounds which will allow screening of their biological activity using CADD technologies.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija
POVEZANOST RADA
Projekti:
0982560
058-0000000-3475 - Generiranje potencijalnih lijekova u uvjetima in silico (Hranueli/Jurica Žučko, Daslav, MZOS ) ( CroRIS)
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Antonio Starčević
(autor)