BMC Bioinformatics

Improving model construction of profile HMMs for remote homology detection through structural alignment.(Research article)(Hidden Markov Models)

BMC Bioinformatics | November 9, 2007 | Copyright

Authors: Juliana S Bernardes (corresponding author) [1]; Alberto MR Dávila [2]; Vítor S Costa [3]; Gerson Zaverucha [1]

Background

Hidden Markov models (HMMs) [1] are probabilistic models utilized in pattern recognition problems. HMMs were initially used for speech recognition tasks [2]. Nowadays, HMMs are being applied successfully to several molecular biology problems, including gene finding [3, 4], multiple sequence alignment [5, 6, 7], protein structure prediction [8, 9, 10], and many others. One particularly important application of HMMs is in

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