his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
PREDICTION OF PROTEIN SECONDARY STRUCTURE by Incorporating Biophysical Information into Artificial Neural Networks
University of Skövde, Department of Computer Science.
1998 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

This project applied artificial neural networks to the field of secondary structure prediction of proteins. A NETtalk architecture with a window size 13 was used. Over-fitting was avoided by the use of 3 real numbers to represent amino acids, reducing the number of adjustable weights to 840. Two alternative representations of amino acids that incorporated biophysical data were created and tested. They were tested both separately and in combination on a standard 7-fold cross-validation set of 126 proteins. The best performance was achieved using an average result from two predictions. This was then filtered and gave the following results. Accuracy levels for core structures were: Q3total accuracy of 61.3% consisting of Q3 accuracy’s of 54.0%, 38.1% & 77.0% for Helix, Strand and Coil respectively with Matthew’s correlation’s Ca = 0.34, Cb = 0.26 , Cc = 0.31. The average lengths of structures predicted were 9.8, 4.9 and 11.0, for helix, sheet and coil respectively. These results are lower than those of other methods using single sequences and localist representations. The most likely reason for this is over generalisation caused by using a small number of units.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 1998. , p. 77
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-235OAI: oai:DiVA.org:his-235DiVA, id: diva2:2590
Presentation
(English)
Uppsok
samhälle/juridik
Supervisors
Available from: 2007-11-07 Created: 2007-11-07 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

fulltext(8683 kB)286 downloads
File information
File name FULLTEXT01.psFile size 8683 kBChecksum MD5
a413a1fe1c3cd7dd0acb71788edbde58c48d4cd33f60e745addb4bfefb6a5ac13ba282b0
Type fulltextMimetype application/postscript
fulltext(8683 kB)220 downloads
File information
File name FULLTEXT02.pdfFile size 8683 kBChecksum SHA-512
59c57d41c66f8a6b96a24907f56b66d7faccdfc51cf8fd1862212f74ff368c2c5fd8d61950381f5fab3d73715afc031fcb76c1ee78c5b30e273d3d394f7e70f7
Type fulltextMimetype application/pdf

By organisation
Department of Computer Science
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 506 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 351 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf