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

  title={Side-chain prediction by neural networks and simulated annealing optimization.},
  author={Jeng Kuang Hwang and Wen-Hwa Liao},
  journal={Protein engineering},
  volume={8 4},
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

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-10 of 26 extracted citations

Similar Papers

Loading similar papers…