An eigenvalue-eigenvector approach to predicting protein folding types.

C T Zhang; K C Chou

doi:10.1007/bf01886788

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An eigenvalue-eigenvector approach to predicting protein folding types.

C T Zhang·K C Chou

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Abstract

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.

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

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C T Zhang, K C Chou. 1995. An eigenvalue-eigenvector approach to predicting protein folding types.. https://doi.org/10.1007/bf01886788

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