Melody discrimination and protein fold classification.
One of the greatest challenges in theoretical biophysics and bioinformatics is the identification of protein folds from sequence data. This can be regarded as a pattern recognition problem. In this paper we report the use of a melody generation software where the inputs are derived from calculations of evolutionary information, secondary structure, flexibility, hydropathy and solvent accessibility from multiple sequence alignment data. The melodies so generated are derived from the sequence, and by inference, of the fold, in ways that give each fold a sound representation that may facilitate analysis, recognition, or comparison with other sequences.
Francis Crick Institute, London NW1 1AT, UK.
Robert P
RP
Bywater
Department of Music, Eastern Washington University, Cheney, WA 99004, USA; School of Information Sciences, University of Tampere, 33041, Finland.
Jonathan N
JN
Middleton
Bioinformatics