Protein Modeling Using Hidden Markov Models: Analysis of Globins

@inproceedings{Kroghy1992ProteinMU,
  title={Protein Modeling Using Hidden Markov Models: Analysis of Globins},
  author={Anders Kroghy and I. Saira Mianx},
  year={1992}
}
  • Anders Kroghy, I. Saira Mianx
  • Published 1992
We apply Hidden Markov Models (HMMs) to the problem of statistical modeling and multiple sequence alignment of protein families. A variant of the Expectation Maximization (EM) algorithm known as the Viterbi algorithm is used to obtain the statistical model from the unaligned sequences. In a detailed series of experiments, we have taken 400 unaligned globin sequences , and produced a statistical model entirely automatically from the primary (unaligned) sequences. We use no prior knowledge of… CONTINUE READING

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