Side-chain prediction by neural networks and simulated annealing optimization.

@article{Hwang1995SidechainPB,
  title={Side-chain prediction by neural networks and simulated annealing optimization.},
  author={Jeng Kuang Hwang and Wen-Hwa Liao},
  journal={Protein engineering},
  year={1995},
  volume={8 4},
  pages={363-70}
}
The prediction of the side-chain positions of proteins of known tertiary backbone structure was accomplished by a combination of neural networks and a simulated annealing method. Neural networks were used to generate distributions of side-chain dihedral angles. By eliminating network outputs with low activities, we were able to generate a reduced conformational space in which Monte Carlo-simulated annealing was carried out to optimize side-chain positions. In this study of 12 proteins, the… CONTINUE READING

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