Hidden Markov models in computational biology. Applications to protein modeling.

@article{Krogh1994HiddenMM,
  title={Hidden Markov models in computational biology. Applications to protein modeling.},
  author={A. Krogh and M. Brown and I. Mian and K. Sj{\"o}lander and D. Haussler},
  journal={Journal of molecular biology},
  year={1994},
  volume={235 5},
  pages={
          1501-31
        }
}
Hidden Markov Models (HMMs) are applied to the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated on the globin family, the protein kinase catalytic domain, and the EF-hand calcium binding motif. In each case the parameters of an HMM are estimated from a training set of unaligned sequences. After the HMM is built, it is used to obtain a multiple alignment of all the training sequences. It… Expand
Optimal Hidden Markov Models for All Sequences of Known Structure
Parameterization studies of hidden Markov models representing highly divergent protein sequences
  • M. A. McClure, R. Raman
  • Computer Science
  • Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences
  • 1995
Protein Modeling with Hybrid Hidden Markov Model/Neural Network Architectures
HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins.
Meta-MEME: motif-based hidden Markov models of protein families
A comparison of profile hidden Markov model procedures for remote homology detection.
Predicting protein structure using hidden Markov models
Are Profile Hidden Markov Models Identifiable?
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 105 REFERENCES
Protein modeling using hidden Markov models: analysis of globins
A hidden Markov model that finds genes in E. coli DNA.
HMM with protein structure grammar
  • K. Asai, S. Hayamizu, K. Onizuka
  • Computer Science
  • [1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences
  • 1993
Stochastic context-free grammars for modeling RNA
Structural analysis based on state‐space modeling
...
1
2
3
4
5
...