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On the reliability and the limits of inference of amino acid sequence alignments
Author(s) -
Sandun Rajapaksa,
Dinithi Sumanaweera,
Arthur M. Lesk,
Lloyd Allison,
Peter J. Stuckey,
María García de la Banda,
David Abramson,
Arun S. Konagurthu
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac247
Subject(s) - inference , sequence (biology) , reliability (semiconductor) , computer science , sequence alignment , computational biology , peptide sequence , genetics , biology , artificial intelligence , gene , power (physics) , physics , quantum mechanics
Alignments are correspondences between sequences. How reliable are alignments of amino acid sequences of proteins, and what inferences about protein relationships can be drawn? Using techniques not previously applied to these questions, by weighting every possible sequence alignment by its posterior probability we derive a formal mathematical expectation, and develop an efficient algorithm for computation of the distance between alternative alignments allowing quantitative comparisons of sequence-based alignments with corresponding reference structure alignments.

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