Item type:Thesis, Open Access

Geometric, Feature-based and Graph-based Approaches for the Structural Analysis of Protein Binding Sites : Novel Methods and Computational Analysis

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Date

2013-08-14

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Philipps-Universität Marburg
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Abstract

In this thesis, protein binding sites are considered. To enable the extraction of information from the space of protein binding sites, these binding sites must be mapped onto a mathematical space. This can be done by mapping binding sites onto vectors, graphs or point clouds. To finally enable a structure on the mathematical space, a distance measure is required, which is introduced in this thesis. This distance measure eventually can be used to extract information by means of data mining techniques.

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Dates
Created: 2013Issued: 2013-08-14Updated: 2013-11-12
DOI
https://doi.org/10.17192/z2013.0126
Faculty
Fachbereich Mathematik und Informatik
Publisher
Philipps-Universität Marburg
Language
eng
Data types
DoctoralThesis
Keywords
GraphsDistanzenMerkmalvektorenFeature VectorsPunktwolkenDistancesProtein Binding SitesLabeled Point CloudsProteinbindetasche
DFG-subjects
PunktmengeGraphen
DDC-Numbers
004
License
https://rightsstatements.org/vocab/InC-NC/1.0/
URI
https://open.uni-marburg.de/handle/10.17192/z2013.0126
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Fober, Thomas: Geometric, Feature-based and Graph-based Approaches for the Structural Analysis of Protein Binding Sites : Novel Methods and Computational Analysis. : Philipps-Universität Marburg 2013-08-14. DOI: https://doi.org/10.17192/z2013.0126.

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This item has been published with the following license: In Copyright