Student research opportunities
Spatial Representations for Biotechnology
Project Code: CECS_52
This project is available at the following levels:
CS single semester, Honours, Summer Scholar, Masters, PhD
Supervisor:
Professor Jochen RenzOutline:
There are several ways of representing biological entities like proteins, molecules or cells, which are often too complex for applying data-mining, machine learning or other computational techniques. Many of the functional properties of biological entities and of their interactions depend on spatial properties, e.g. a protein might only interact with another protein if it is folded in a way that some of its parts are accessible from the outside to other proteins.
Goals of this project
The idea of this project is to find examples of biological properties and interactions where spatial relationships are important, identify and categorize these relationships, and based on this find simple functional representations of biological entities which could be used for applying computational techniques.
