Predicting protein conformation by statistical methods

Biochim Biophys Acta. 2001 Oct 18;1549(2):123-36. doi: 10.1016/s0167-4838(01)00253-9.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Membrane Proteins / chemistry
  • Protein Conformation*
  • Protein Structure, Secondary
  • Protein Structure, Tertiary
  • Proteins / chemistry*
  • Proteins / classification
  • Statistics as Topic / methods

Substances

  • Membrane Proteins
  • Proteins