Neki aspekti iterativnog pretraživanja proteoma

master's thesis

• Author: Mihaela Kobovac
• Mentor: Pavle Goldstein (mentor)
• Committee member: Pavle Goldstein (predsjednik povjerenstva)
• Committee member: Miljenko Huzak (član povjerenstva)
• Committee member: Mladen Vuković (član povjerenstva)
• Committee member: Josip Tambača (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2017-02-24, 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... More metoda daje vrlo dobre rezultate. Less

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: iterativno pretraživanje; proteom; enzim; Arabidopsis thaliana
• Keywords (english): iterative searching; proteome; enzyme; Arabidopsis thaliana
• Language: croatian
• URN:NBN: urn:nbn:hr:217:689253
• Study programme: Title: Mathematical Statistics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2017-04-26 11:15:28