STRUKTURNA PREDIKCIJA FUNKCIJE PROTEINA I ODNOS FUNKCIONALNIH KATEGORIJA PROTEINA I NJIHOVE NEUREÐENOSTI

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STRUKTURNA PREDIKCIJA FUNKCIJE PROTEINA I ODNOS FUNKCIONALNIH KATEGORIJA PROTEINA I NJIHOVE NEUREÐENOSTI

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dc.contributor.advisor Pavlović - Lažetić, Gordana
dc.contributor.author Kovačević, Jovana
dc.date.accessioned 2017-04-18T16:21:52Z
dc.date.available 2017-04-18T16:21:52Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/4451
dc.description.abstract Proteins represent the most important groups of biomoleculs. Di erent functions that they carry out in each organism are unique and irreplaceable, including versatile cellular processes, structural role of proteins, catalytic function, a number of metabolic functions and so on. Knowing and under- standing protein function is therefore essential in investigation of any biolo- gical process, especially of human diseases since a lot of them are caused by functional mutations. In this paper, we represent investigation of protein function domain through two di erent approaches. In the rst one, protein function is represented by GO ontologies with the structure of a directed acyclic graph. There are three GO ontologies: one for functions regarding biological processes, one for functions regarding cellular components and one for molecular functions. Each ontology contains several thousands of nodes, where every node deter- mines more speci c function than his ascendants. The task of this part of research was to develop a software for predicting protein function from its primary sequence based on structural support vector machines method which represents generalization of well-known support vector machines method on structural output. Structure-function paradigm is one of basic concepts in molecular biology, stating that 3D proten structure is closely connected to its role in organism. It has been detected that disordered proteins (the ones that lack 3D struc- ture) and disordered regions of proteins are related with severe contemporary illnesses, which contributed to their popularity in modern research. In an- other aspect, we investigated the relationship between proteins' functional categories and their disorder, as well ad with other physico-chemical char- acteristics of proteins. Here, protein function has been observed through 25 elementary functions grouped in 4 functional groups. In this work, we present results of thorough analysis over large protein dataset where dis- order has been determined computationally, using publicly available tools. en_US
dc.description.provenance Submitted by Slavisha Milisavljevic (slavisha) on 2017-04-18T16:21:52Z No. of bitstreams: 1 DoktoratJK2015.pdf: 1116382 bytes, checksum: d4fb681292717efeea39fab0707f36c1 (MD5) en
dc.description.provenance Made available in DSpace on 2017-04-18T16:21:52Z (GMT). No. of bitstreams: 1 DoktoratJK2015.pdf: 1116382 bytes, checksum: d4fb681292717efeea39fab0707f36c1 (MD5) Previous issue date: 2015 en
dc.language.iso sr en_US
dc.publisher Beograd en_US
dc.title STRUKTURNA PREDIKCIJA FUNKCIJE PROTEINA I ODNOS FUNKCIONALNIH KATEGORIJA PROTEINA I NJIHOVE NEUREÐENOSTI en_US
mf.author.birth-date 1983-05-06
mf.author.birth-place Beograd en_US
mf.author.birth-country Srbija en_US
mf.author.residence-state Srbija en_US
mf.author.citizenship Srpsko en_US
mf.author.nationality Srpkinja en_US
mf.subject.area Computer science en_US
mf.subject.keywords Structured prediction, bioinformatics, protein function, protein disorder en_US
mf.subject.subarea Data mining en_US
mf.contributor.committee Beljanski, Miloš
mf.contributor.committee Mitić, Nenad
mf.contributor.committee Radivojac, Predrag
mf.contributor.committee Nikolić, Mladen
mf.university.faculty Mathematical Faculty en_US
mf.document.references 109 en_US
mf.document.pages 89 en_US
mf.document.location Beograd en_US
mf.document.genealogy-project No en_US
mf.university Belgrade University en_US

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