KŘENEK, Aleš, Karel KUBÍČEK, Richard ŠTEFL a Jiří FILIPOVIČ. Accurate Fitting SAXS Curves with NMR Structure Ensembles. Online. In Simon Lin, Vicky Huang. Proceedings of International Symposium on Grids and Clouds 2015. Pissa: Proceedings of Science, 2015, s. nestránkováno, 9 s. ISSN 1824-8039.
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Základní údaje
Originální název Accurate Fitting SAXS Curves with NMR Structure Ensembles
Autoři KŘENEK, Aleš (203 Česká republika, garant, domácí), Karel KUBÍČEK (203 Česká republika, domácí), Richard ŠTEFL (203 Česká republika, domácí) a Jiří FILIPOVIČ (203 Česká republika, domácí).
Vydání Pissa, Proceedings of International Symposium on Grids and Clouds 2015, od s. nestránkováno, 9 s. 2015.
Nakladatel Proceedings of Science
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10600 1.6 Biological sciences
Utajení není předmětem státního či obchodního tajemství
Forma vydání elektronická verze "online"
WWW URL
Kód RIV RIV/00216224:14610/15:00083645
Organizační jednotka Ústav výpočetní techniky
ISSN 1824-8039
Klíčová slova česky saxs; nmr; ensamble fit
Klíčová slova anglicky saxs; nmr; ensamble fit
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Alena Mokrá, učo 362754. Změněno: 27. 4. 2018 14:31.
Anotace
Typical NMR analyses of a biomolecule yields a set of up to few dozens candidate 3D structures of the analyzed molecule without any clues to discriminate among them further. A parallel SAXS experiment on the same sample can be used for this purpose. Previous implementations of “ensemble fit” (search for a mix of molecular conformations which matches the SAXS curve) were designed to choose from a huge ensemble generated by molecular dynamics. Therefore the methods must trade off accuracy for manageable speed, and they end up in mixing curves computed with rather different values of parameters which have physical meaning, which should be avoided. On the contrary, with a relatively small input set of candidate NMR structures we take a more accurate approach. Both the model parameters, considered globally now, and weights of individ- ual candidate structures (reflecting their presence in the solution) become independent variables of a multidimensional global optimization problem; the optimized value is the accuracy of the fit to the experimental data. The optimization must escape from traps of many local minima there- fore we use Monte Carlo with stochastic tunnelling. The method also offers opportunities for parallelization. The final issue is user friendliness of the entire workflow, which is quite complex, involving several programs to be run, handling different file formats, and setting multiple parameters, ending up with visualization of results. We outline design of a web portal hiding these complexities to the end user.
Návaznosti
MUNI/M/1038/2013, interní kód MUNázev: Development of new interdisciplinary approaches to study function and regulation of transcriptome
Investor: Masarykova univerzita, Development of new interdisciplinary approaches to study function and regulation of transcriptome, INTERDISCIPLINARY - Mezioborové výzkumné projekty
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