Dokument
Titel: | Geometric, Feature-based and Graph-based Approaches for the Structural Analysis of Protein Binding Sites : Novel Methods and Computational Analysis |
Autor: | Fober, Thomas |
Weitere Beteiligte: | Hüllermeier, Eyke (Prof. Dr.) |
Veröffentlicht: | 2013 |
URI: | https://archiv.ub.uni-marburg.de/diss/z2013/0126 |
URN: | urn:nbn:de:hebis:04-z2013-01262 |
DOI: | https://doi.org/10.17192/z2013.0126 |
DDC: | Informatik |
Titel (trans.): | Geometrische, merkmalbasierte und graphbasierte Ansätze für die strukturelle Analyse von Proteinbindetaschen : Neue Methoden und deren Vergleich |
Publikationsdatum: | 2013-08-14 |
Lizenz: | https://rightsstatements.org/vocab/InC-NC/1.0/ |
Schlagwörter: |
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Graphs, Distanzen, Distances, Punktmenge, Punktwolken, Protein Binding Sites, Labeled Point Clouds, Proteinbindetasche, Feature Vectors, Graphen, Merkmalvektoren |
Summary:
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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