ArticleExtreme Mechanics Letters2019
Analysis of the vibrational and sound spectrum of over 100,000 protein structures and application in sonification.
Article in Extreme Mechanics Letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 31 citations in OpenAlex.
- Principles and Therapeutics ofJournal of pharmacy & bioallied sciences · 2024Review
- Sound Matrix Shaping of Living Matter: From Macrosystems to Cell Microenvironment, Where Mitochondria Act as Energy Portals in Detecting and Processing Sound Vibrations.International journal of molecular sciences · 2024Review
- Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs.Patterns (New York, N.Y.) · 2023Article
- Rapid prediction of protein natural frequencies using graph neural networks.Digital discovery · 2022Article
- Article
- Artificial intelligence-driven drug repurposing and structural biology for SARS-CoV-2.Current research in pharmacology and drug discovery · 2021Review
- Machine learning model for fast prediction of the natural frequencies of protein molecules.RSC advances · 2020Article
- Sonification basedAPL bioengineering · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
We report a high-throughput method that enables us to automatically compute the vibrational spectra of more than 100,000 proteins available in the Protein Data Bank to date, in a consistent manner. Using this new algorithm we report a comprehensive database of the normal mode frequencies of all known protein structures, which has not been available before. We then use the resulting frequency spectra of the proteins to generate audible sound by overlaying the molecular vibrations and translating them to the audible frequency range using the music theoretic concept of transpositional equivalence. The method, implemented as a Max audio device for use in a digital audio workstation (DAW), provides unparalleled insights into the rich vibrational signatures of protein structures, and offers a new way for creative expression by using it as a new type of musical instrument. This musical instrument is fully defined by the vibrational feature of almost all known protein structures, making it fundamentally different from all the traditional instruments that are limited by the material properties of a few types of conventional engineering materials, such as wood, metals or polymers.
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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.