Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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 membrane-protein topology from first principles
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Show others and affiliations
2008 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 105, no 20, 7177-7181 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2008. Vol. 105, no 20, 7177-7181 p.
Keyword [en]
Animals, Biophysics/*methods, Cell Membrane/*metabolism, Chemistry; Physical/methods, Databases; Protein, Lipids/chemistry, Membrane Proteins/*chemistry, Models; Statistical, Probability, Protein Binding, Protein Conformation, Protein Structure; Secondary, Proteomics/methods, Sequence Analysis; Protein, Thermodynamics
Identifiers
URN: urn:nbn:se:su:diva-14850DOI: 10.1073/pnas.0711151105ISI: 000256162900015PubMedID: 18477697OAI: oai:DiVA.org:su-14850DiVA: diva2:181370
Available from: 2008-11-20 Created: 2008-11-20 Last updated: 2017-12-13Bibliographically approved
In thesis
1. Sequence-based predictions of membrane-protein topology, homology and insertion
Open this publication in new window or tab >>Sequence-based predictions of membrane-protein topology, homology and insertion
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Membrane proteins comprise around 20-30% of a typical proteome and play crucial roles in a wide variety of biochemical pathways. Apart from their general biological significance, membrane proteins are of particular interest to the pharmaceutical industry, being targets for more than half of all available drugs. This thesis focuses on prediction methods for membrane proteins that ultimately rely on their amino acid sequence only.

By identifying soluble protein domains in membrane protein sequences, we were able to constrain and improve prediction of membrane protein topology, i.e. what parts of the sequence span the membrane and what parts are located on the cytoplasmic and extra-cytoplasmic sides. Using predicted topology as input to a profile-profile based alignment protocol, we managed to increase sensitivity to detect distant membrane protein homologs.

Finally, experimental measurements of the level of membrane integration of systematically designed transmembrane helices in vitro were used to derive a scale of position-specific contributions to helix insertion efficiency for all 20 naturally occurring amino acids. Notably, position within the helix was found to be an important factor for the contribution to helix insertion efficiency for polar and charged amino acids, reflecting the highly anisotropic environment of the membrane. Using the scale to predict natural transmembrane helices in protein sequences revealed that, whereas helices in single-spanning proteins are typically hydrophobic enough to insert by themselves, a large part of the helices in multi-spanning proteins seem to require stabilizing helix-helix interactions for proper membrane integration. Implementing the scale to predict full transmembrane topologies yielded results comparable to the best statistics-based topology prediction methods.

Place, publisher, year, edition, pages
Stockholm: Institutionen för biokemi och biofysik, 2008. 57 p.
Keyword
membrane protein, topology prediction, hidden markov model, homology detection, Sec translocon
National Category
Bioinformatics (Computational Biology)
Research subject
Biochemistry
Identifiers
urn:nbn:se:su:diva-8126 (URN)978-91-628-7565-7 (ISBN)
Public defence
2008-09-19, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 12 A, Stockholm, 14:00 (English)
Opponent
Supervisors
Available from: 2008-08-28 Created: 2008-08-28 Last updated: 2009-05-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Bernsel, AndreasFalk, JennyLindahl, Erikvon Heijne, GunnarElofsson, Arne
By organisation
Department of Biochemistry and Biophysics
In the same journal
Proceedings of the National Academy of Sciences of the United States of America

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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