Genomic studies predict that 30% of all proteins are membrane associated. Identifying such proteins using similarity searches, however, is very difficult because the transmembrane sequences of such proteins change over evolutionary time much more rapidly than do soluble protein domains. Now Maria Hedman, Hans Deloof, Gunnar von Heijne, and Arne Elofsson have modified the Smith-Waterman algorithms used to detect such regions. Their new methodology significantly enhances our ability to detect similarity between membrane-associated proteins.
Improved detection of homologous membrane proteins by inclusion of information from topology predictions”
Hedman, et al. Protein Science March 1, 2002, 11 (3). (FREE ACCESS to PAPER)
Message posted by: Frank S. Zollmann
Bookmark and Share this page (what is this?)
Social bookmarking allows users to save and categorise a personal collection of bookmarks and share them with others. This is different to using your own browser bookmarks which are available using the menus within your web browser.
Use the links below to share this article on the social bookmarking site of your choice.
Read more about social bookmarking at Wikipedia - Social Bookmarking
Variants Associated with Pediatric Allergic Disorder
Mutations in PHF6 Found in T-Cell Leukemia
Genetic Risk Variant for Urinary Bladder Cancer
Antibody Has Therapeutic Effect on Mice with ALS
Regulating P53 Activity in Cancer Cells
Anti-RNA Therapy Counters Breast Cancer Spread
Mitochondrial DNA Diversity
The Power of RNA Sequencing
‘Pro-Ageing' Therapy for Cancer?
Niche Genetics Influence Leukaemia
Molecular Biology: Clinical Promise for RNA Interference
Chemoprevention Cocktail for Colon Cancer
more news ...