A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
<p>Abstract</p> <p>Background</p> <p>Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of predicting membrane protein topology. In a predictive task, the HMM i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2005-12-01
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| Series: | BMC Bioinformatics |