An eigenvalue-eigenvector approach to predicting protein folding types

J Protein Chem. 1995 Jul;14(5):309-26. doi: 10.1007/BF01886788.


The accuracy of predicting protein folding types can be significantly enhanced by a recently developed algorithm in which the coupling effect among different amino acid components is taken into account [Chou and Zhang (1994) J. Biol. Chem. 269, 22014-22020]. However, in practical calculations using this powerful algorithm, one may sometimes face ill-conditioned matrices. To overcome such a difficulty, an effective eigenvalue-eigenvector approach is proposed. Furthermore, the new approach has been used to predict a recently constructed set of 76 proteins not included in the training set, and the accuracy of prediction is also much higher than those of other methods.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Chemical Phenomena
  • Chemistry, Physical
  • Mathematical Computing
  • Molecular Sequence Data
  • Predictive Value of Tests
  • Protein Folding*
  • Protein Structure, Secondary*