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Updated: Jul 22, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Positional statistical significance in sequence alignment.

L Yu1, T F Smith

  • 1BioMolecular Engineering Research Center, College of Engineering, Boston University, Massachusetts 02215, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|July 27, 1999
PubMed
Summary

This study introduces a novel method using hidden Markov models (HMM) to calculate sequence alignment probabilities. This approach enhances understanding of sequence relationships and statistical significance in bioinformatics.

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