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In vivo and in vitro Studies of Adaptor-clathrin Interaction
Published on: January 27, 2011
The sequence determinants of cadherin molecules
A E Kister1, M A Roytberg, C Chothia
1Department of Mathematics, Rutgers University, Piscataway, New Jersey 08854, USA. akister@math.rutgers.edu
Protein Science : a Publication of the Protein Society
|August 22, 2001
Summary
Sequence determinants identify cadherin protein families. This method accurately classifies cadherins using key residues, enabling new structural predictions for these important proteins.
Area of Science:
- Proteomics
- Structural Biology
- Bioinformatics
Background:
- Cadherins are crucial cell adhesion molecules involved in tissue development and maintenance.
- Understanding cadherin structure and family classification is vital for biological research.
- Existing classification methods like BLAST and FAH require extensive sequence data.
Purpose of the Study:
- To introduce a novel method for protein family classification based on sequence determinants.
- To predict secondary and three-dimensional structures for previously unanalyzed cadherin domains.
- To establish sequence patterns for cadherin secondary structures.
Main Methods:
- Sequence and structural analysis of cadherins.
- Identification of characteristic residues (sequence determinants) within protein families.
- Comparative analysis of extracellular cadherin domains.
- Development of a secondary structure model for the cadherin cytoplasmic domain.
Main Results:
- Identified shared sequence determinants across five extracellular cadherin domains, despite low overall sequence similarity.
- Successfully predicted secondary and 3D structures for previously uncharacterized cadherin domains.
- Developed a novel classification method using sequence determinants, distinguishing classic cadherins from 80,000 other proteins.
- Proposed a secondary structure model for the cadherin cytoplasmic domain with potential distinguishing characteristics.
Conclusions:
- Sequence determinant analysis offers a powerful and efficient method for protein family classification.
- This approach facilitates accurate structural predictions for cadherin domains.
- The identified sequence and structural patterns enhance our understanding of cadherin function and evolution.
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