Melody discrimination and protein fold classification. Issue 10 (October 2016)

• Record Type: Journal Article
• Authors: Bywater, Robert P.; Middleton, Jonathan N.
• Is Part Of: Heliyon. Volume 2:Issue 10(2016)
• Publication Date: 2016-10
• Subjects: Bioinformatics; Research -- Periodicals; Medical sciences -- Periodicals; Natural history -- Periodicals; Social sciences -- Periodicals; Earth sciences -- Periodicals; Physical sciences -- Periodicals; 507.2
• DOI: 10.1016/j.heliyon.2016.e00175
• Languages: English
• ISSNs: 2405-8440

Abstract

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.