HelixFinder A program for identifying and classifying protein alpha-helix pairs
| dc.contributor.author | Kollind, Markus | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers) | sv |
| dc.contributor.department | Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers) | en |
| dc.date.accessioned | 2019-07-03T13:42:38Z | |
| dc.date.available | 2019-07-03T13:42:38Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | To gain understanding of proteins and increase knowledge of how they interact with and impact each other, studying larger sets of data on proteins is important. Being able to easily aggregate such data is essential for this type of analysis. This work is investigating how to detect some specific sections of protein secondary structures,alpha-helices, and to, within a given protein, identify pairs of such helices that are close to each other. The identified pairs are categorized in four different categories, depending on how the distance is detected. The outcome is a program, HelixFinder, that detects such helix pairs and gathers information about them. The program uses an implementation of the DSSP algorithm to identify the structures, and a rotational algorithm together with a number of distance tests to identify alpha-helix pairs and output data relevant for further analysis. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/219134 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | Technology | |
| dc.subject | Informations- och kommunikationsteknik | |
| dc.subject | Data- och informationsvetenskap | |
| dc.subject | Information & Communication Technology | |
| dc.subject | Computer and Information Science | |
| dc.title | HelixFinder A program for identifying and classifying protein alpha-helix pairs | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master Thesis | en |
| dc.type.uppsok | H |
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