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Updated: Mar 12, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Melody discrimination and protein fold classification
Robert P Bywater1, Jonathan N Middleton2
1Francis Crick Institute, London NW1 1AT, UK.
Abstract:
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.
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