Modelling Thermal Stability Changes Upon Mutations in Proteins with Artificial Neural Networks

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Summary

The importance of local interactions in predicting thermal stability changes is higher in the protein core than on the surface, although the opposite trend is observed for the prediction of thermodynamic stability changes.

Type
article
Published
2010-01-01
Cited by
1
References
26

Keywords

Sigmoid function, Thermodynamics, Artificial neural network, Correlation coefficient, Mutation

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