Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development

@article{Parthiban2007ComputationalMO,
  title={Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development},
  author={Vijaya Parthiban and M. Michael Gromiha and Madenhalli Abhinandan and Dietmar Schomburg},
  journal={BMC Structural Biology},
  year={2007},
  volume={7},
  pages={54 - 54}
}
Understanding and predicting protein stability upon point mutations has wide-spread importance in molecular biology. Several prediction models have been developed in the past with various algorithms. Statistical potentials are one of the widely used algorithms for the prediction of changes in stability upon point mutations. Although the methods provide flexibility and the capability to develop an accurate and reliable prediction model, it can be achieved only by the right selection of the… CONTINUE READING

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