Pregled bibliografske jedinice broj: 159507
Database of pore domain models from cationic channels
Database of pore domain models from cationic channels // MATH/CHEM/COMP/2004 / Graovac, Ante (ur.).
Zagreb: Institut Ruđer Bošković, 2004. (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 159507 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Database of pore domain models from cationic channels
Autori
Jerončić, Ana ; Juretić, Davor
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
MATH/CHEM/COMP/2004
/ Graovac, Ante - Zagreb : Institut Ruđer Bošković, 2004
Skup
The 19-th Dubrovnik International Course and Conference on the Interfaces among Mathematics, Chemistry and Computer Sciences
Mjesto i datum
Dubrovnik, Hrvatska, 21.06.2004. - 26.06.2004
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
pore domain; cationic channel; annotation; database
Sažetak
In the post-genomic proteome era, biologists often need to construct their own problem-specific databases in order to support the analysis and knowledge discovery. In this context, the database of channel proteins, with accurate structure and functional annotations, is of special interest in neuroscience, highly dynamic and overwhelming research area. Here we report a customized database of pore-forming domains from cationic channels (the P-region domains) that was created by using semi-automated collection and management as well as high accuracy modeling procedure. Literature and data mining problems are exposed in connection with collecting the unique set of functional channel protein families. After clarifying these problems, the family-specific potentials for identification of new members are identified from database’ s current state of channel-protein knowledge. In the absence of more than handful of high resolution 3D structures, sequence analysis techniques are the sole solution for pore domain definition. Therefore, we built pore domain models, with modeling procedure that was based on use of several bioinformatics tools, developed with primary sequence input, and evaluated with appropriate statistical techniques. Modeled data are stored in a MySQL database which can be interactively queried over the web at URL: http://split.pmfst.hr/PPore/index.html
Izvorni jezik
Engleski
Znanstvena područja
Fizika