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Updated: Jul 30, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Low Identity, Low Similarity Protein Sequences: Independent Modeling of the Ordered-Series-of-Motifs and
Abstract:
We present a strategy for generating a multiple alignment from a hidden Markov model (HMM) for low identity, low similarity protein sequences. In this approach the ordered-series-of-motifs and the motif-intervening-regions are independently modeled. We also provide a measure of multiple alignment goodness called the stability function to compared one alignment to another. This strategy provides a more robust HMM representing highly divergent sequence data.
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