Abstract
The unique folded structure makes a polypeptide a functional protein. The number of known sequences is about a hundred times larger than the number of known structures and the gap is increasing rapidly. The primary goal of all structure prediction methods is to obtain structure-related information on proteins, whose structures have not been determined experimentally. Besides this goal, the development of accurate prediction methods helps to reveal principles of protein folding. Here we present a brief survey of protein structure predictions based on statistical analyses of known sequence and structure data. We discuss the background of these methods and attempt to elucidate principles, which govern structure formation of soluble and membrane proteins.
Original language | English (US) |
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Pages (from-to) | 123-136 |
Number of pages | 14 |
Journal | Biochimica et Biophysica Acta - Protein Structure and Molecular Enzymology |
Volume | 1549 |
Issue number | 2 |
DOIs | |
State | Published - Oct 18 2001 |
Externally published | Yes |
Keywords
- Amino acid sequence
- Prediction
- Protein
- Statistical method
- Structure
- Topology
- Transmembrane protein
ASJC Scopus subject areas
- Biophysics
- Structural Biology
- Biochemistry
- Molecular Biology