ArticleHeliyon2016
Melody discrimination and protein fold classification.
Article in Heliyon, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Article
- Towards a unified terminology for sonification and visualization.Personal and ubiquitous computing · 2023Article
- Data-to-music sonification and user engagement.Frontiers in big data · 2023Article
- Chemical composition: Hearing insect defensive volatiles.Patterns (New York, N.Y.) · 2021Article
- Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments.BMC bioinformatics · 2021Article
- Protein music of enhanced musicality by music style guided exploration of diverse amino acid properties.Heliyon · 2021Article
- Clustering and classification of virus sequence through music communication protocol and wavelet transform.Genomics · 2021Article
- Real-time audio and visual display of the Coronavirus genome.BMC bioinformatics · 2020Article
- "Redox lipidomics technology: Looking for a needle in a haystack".Chemistry and physics of lipids · 2019Review
- Review
- The sound of migration: exploring data sonification as a means of interpreting multivariate salmon movement datasets.Heliyon · 2018Article
- An auditory display tool for DNA sequence analysis.BMC bioinformatics · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.