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master's thesis
Neki aspekti iterativnog pretraživanja proteoma
Zagreb: University of Zagreb, Faculty of Science, 2017. urn:nbn:hr:217:689253
Kobovac, Mihaela
University of Zagreb
Faculty of Science
Department of Mathematics

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Kobovac, M. (2017). Neki aspekti iterativnog pretraživanja proteoma (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:689253

Kobovac, Mihaela. "Neki aspekti iterativnog pretraživanja proteoma." Master's thesis, University of Zagreb, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:217:689253

Kobovac, Mihaela. "Neki aspekti iterativnog pretraživanja proteoma." Master's thesis, University of Zagreb, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:217:689253

Kobovac, M. (2017). 'Neki aspekti iterativnog pretraživanja proteoma', Master's thesis, University of Zagreb, Faculty of Science, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:217:689253

Kobovac M. Neki aspekti iterativnog pretraživanja proteoma [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2017 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:217:689253

M. Kobovac, "Neki aspekti iterativnog pretraživanja proteoma", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:217:689253

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Metadata
TitleNeki aspekti iterativnog pretraživanja proteoma
AuthorMihaela Kobovac
MentorPavle Goldstein (mentor)
Committee memberPavle Goldstein (predsjednik povjerenstva)
Committee memberMiljenko Huzak (član povjerenstva)
Committee memberMladen Vuković (član povjerenstva)
Committee memberJosip Tambača (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2017-02-24, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Opisali smo postupak traženja motiva iz neke proteinske familije u proteomu nekog organizma. Definirali smo ocjenu sličnosti bloka aminokiselina sa zadanim motivom te dobili da su maksimalne ocjene sličnosti, uz korekciju zbog nejednakih duljina nizova, logistički distribuirane. Pokusali smo ubrzati pretraživanje te smo poboljšali metodu alteracijom iterativnog građenja profila motiva. Analizom rezultata dobivenih traženjem GDSL enzima u proteomu biljke Arabidopsis thaliana pokazalo se da ova metoda daje vrlo dobre rezultate.
Abstract (english)
We have described a procedure for iterative searching of protein motifs in a large set of protein sequences. We have described a similarity score in terms of a log-odds ratio, and established that the scores are following a logistic distribution. Furthermore, we have sped up the search procedure, and adjusted the profile building method. Analyses of results given by searching for GDSL enzymes in a protein of a plant Arabidopsis thaliana showed that our method gives very good results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:689253
Study programmeTitle: Mathematical Statistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryRepository of the Faculty of Science
Created on2017-04-26 11:15:28

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