uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Resolving the geometry of biomolecules imaged by cryo electron tomography
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Show others and affiliations
2007 (English)In: Journal of Microscopy, ISSN 0022-2720, E-ISSN 1365-2818, Vol. 228, no 2, 174-184 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we describe two methods for computerized analysis of cryo electron tomography reconstructions of biomolecules. Both methods aim at quantifying the degree of structural flexibility of macromolecules and eventually resolving the inner dynamics through automatized protocols. The first method performs a Brownian dynamics evolution of a simplified molecular model into a fictitious force field generated by the tomograms. This procedure enables us to dock the simplified model into the experimental profiles. The second uses a fuzzy framework to delineate the subparts of the proteins and subsequently determine their interdomain relations. The two methods are discussed and their complementarities highlighted with reference to the case of the immunoglobulin antibody. Both artificial maps, constructed from immunoglobulin G entries in the Protein Data Bank and real tomograms are analyzed. Robustness issues and agreement with previously reported measurements are discussed.

Place, publisher, year, edition, pages
2007. Vol. 228, no 2, 174-184 p.
Keyword [en]
brownian dynamic, fuzzy sets, immunoglobulin G, principle component analysis, protein data bank, volume images
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:uu:diva-12695DOI: 10.1111/j.1365-2818.2007.01839.xISI: 000250435600009PubMedID: 17970917OAI: oai:DiVA.org:uu-12695DiVA: diva2:40464
Available from: 2008-01-10 Created: 2008-01-10 Last updated: 2017-12-11Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Authority records BETA

Svensson, StinaGedda, Magnus

Search in DiVA

By author/editor
Svensson, StinaGedda, Magnus
By organisation
Centre for Image AnalysisComputerized Image Analysis
In the same journal
Journal of Microscopy
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 424 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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