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...
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| Format: | Online |
| Language: | English |
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Elsevier
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079661/ |
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pubmed-5079661 |
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pubmed-50796612016-11-03 Melody discrimination and protein fold classification Bywater, Robert P. Middleton, Jonathan N. Article 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. Elsevier 2016-10-20 /pmc/articles/PMC5079661/ /pubmed/27812548 http://dx.doi.org/10.1016/j.heliyon.2016.e00175 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Bywater, Robert P. Middleton, Jonathan N. |
| spellingShingle |
Bywater, Robert P. Middleton, Jonathan N. Melody discrimination and protein fold classification |
| author_facet |
Bywater, Robert P. Middleton, Jonathan N. |
| author_sort |
Bywater, Robert P. |
| title |
Melody discrimination and protein fold classification |
| title_short |
Melody discrimination and protein fold classification |
| title_full |
Melody discrimination and protein fold classification |
| title_fullStr |
Melody discrimination and protein fold classification |
| title_full_unstemmed |
Melody discrimination and protein fold classification |
| title_sort |
melody discrimination and protein fold classification |
| description |
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. |
| publisher |
Elsevier |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079661/ |
| _version_ |
1613697665534525440 |