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A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence

Chi-Hua Yu, Zhao Qin, Francisco Martin-Martinez Orcid Logo, Markus J. Buehler

ACS Nano, Volume: 13, Issue: 7, Pages: 7471 - 7482

Swansea University Author: Francisco Martin-Martinez Orcid Logo

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DOI (Published version): 10.1021/acsnano.9b02180

Published in: ACS Nano
ISSN: 1936-0851 1936-086X
Published: American Chemical Society (ACS) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa53481
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first_indexed 2020-03-25T19:47:04Z
last_indexed 2020-10-16T03:06:25Z
id cronfa53481
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spelling 2020-10-15T17:05:18.7806034 v2 53481 2019-06-05 A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence a5907aac618ec107662c888f6ead0e4a 0000-0001-7149-5512 Francisco Martin-Martinez Francisco Martin-Martinez true false 2019-06-05 CHEM Journal Article ACS Nano 13 7 7471 7482 American Chemical Society (ACS) 1936-0851 1936-086X protein; structural analysis; sonification; artificial intelligence; recurrent neural networks; molecular mechanics 23 7 2019 2019-07-23 10.1021/acsnano.9b02180 COLLEGE NANME Chemistry COLLEGE CODE CHEM Swansea University 2020-10-15T17:05:18.7806034 2019-06-05T00:00:00.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Chi-Hua Yu 1 Zhao Qin 2 Francisco Martin-Martinez 0000-0001-7149-5512 3 Markus J. Buehler 4
title A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
spellingShingle A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
Francisco Martin-Martinez
title_short A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
title_full A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
title_fullStr A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
title_full_unstemmed A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
title_sort A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence
author_id_str_mv a5907aac618ec107662c888f6ead0e4a
author_id_fullname_str_mv a5907aac618ec107662c888f6ead0e4a_***_Francisco Martin-Martinez
author Francisco Martin-Martinez
author2 Chi-Hua Yu
Zhao Qin
Francisco Martin-Martinez
Markus J. Buehler
format Journal article
container_title ACS Nano
container_volume 13
container_issue 7
container_start_page 7471
publishDate 2019
institution Swansea University
issn 1936-0851
1936-086X
doi_str_mv 10.1021/acsnano.9b02180
publisher American Chemical Society (ACS)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemistry{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemistry
document_store_str 0
active_str 0
published_date 2019-07-23T04:06:25Z
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score 11.037253

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