On the reliability and the limits of inference of amino acid sequence alignments

Author:

Rajapaksa Sandun1,Sumanaweera Dinithi1,Lesk Arthur M2,Allison Lloyd1,Stuckey Peter J1,Garcia de la Banda Maria1,Abramson David3,Konagurthu Arun S1

Affiliation:

1. Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University , Clayton, VIC 3800, Australia

2. Department of Biochemistry and Molecular Biology and Center for Computational Biology and Bioinformatics, The Pennsylvania State University , University Park, PA 16802, USA

3. Research Computing Center, University of Queensland , St Lucia, QLD 4067, Australia

Abstract

Abstract Motivation 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. Results By analyzing the sequences and structures of 1 million protein domain pairs, we report the variation of the expected distance between sequence-based and structure-based alignments, as a function of (Markov time of) sequence divergence. Our results clearly demarcate the ‘daylight’, ‘twilight’ and ‘midnight’ zones for interpreting residue–residue correspondences from sequence information alone. Supplementary information Supplementary data are available at Bioinformatics online.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference34 articles.

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2. Pairwise sequence alignment below the twilight zone;Blake;J. Mol. Biol,2001

3. Crystallographic and bioinformatic studies on restriction endonucleases: inference of evolutionary relationships in the “midnight zone” of homology;Bujnicki;Curr. Protein Pept. Sci,2003

4. ECOD: an evolutionary classification of protein domains;Cheng;PLoS Comput. Biol,2014

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