{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T03:38:31Z","timestamp":1778125111877,"version":"3.51.4"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T00:00:00Z","timestamp":1531094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Platform Project for Supporting Drug Discovery and Life Science Research"},{"DOI":"10.13039\/100009619","name":"AMED","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"JSPS","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"KAKENHI","doi-asserted-by":"crossref","award":["15K06970"],"award-info":[{"award-number":["15K06970"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Multi-dimensional NMR spectra are generally used for NMR signal assignment and structure analysis. There are several programs that can achieve highly automated NMR signal assignments and structure analysis. On the other hand, NMR spectra tend to have a large number of noise peaks even for data acquired with good sample and machine conditions, and it is still difficult to eliminate these noise peaks.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We have developed a method to eliminate noise peaks using convolutional neural networks, implemented in the program package Filt_Robot. The filtering accuracy of Filt_Robot was around 90\u201395% when applied to 2D and 3D NMR spectra, and the numbers of resulting non-noise peaks were close to those in corresponding manually prepared peaks lists. The filtering can strongly enhance automated NMR spectra analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The full package of the program, documents and example data are available from http:\/\/bmrbdep.pdbj.org\/en\/nmr_tool_box\/Filt_Robot.html.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty581","type":"journal-article","created":{"date-parts":[[2018,7,7]],"date-time":"2018-07-07T06:00:37Z","timestamp":1530943237000},"page":"4300-4301","source":"Crossref","is-referenced-by-count":29,"title":["Noise peak filtering in multi-dimensional NMR spectra using convolutional neural networks"],"prefix":"10.1093","volume":"34","author":[{"given":"Naohiro","family":"Kobayashi","sequence":"first","affiliation":[{"name":"Institute for Protein Research, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshikazu","family":"Hattori","sequence":"additional","affiliation":[{"name":"Faculty of Pharmaceutical Sciences, Tokushima Bunri University, Tokushima, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takashi","family":"Nagata","sequence":"additional","affiliation":[{"name":"Institute of Advanced Energy, Kyoto University, Kyoto, Japan"},{"name":"Graduate School of Energy Science, Kyoto University, Kyoto, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoko","family":"Shinya","sequence":"additional","affiliation":[{"name":"Institute for Protein Research, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"G\u00fcntert","sequence":"additional","affiliation":[{"name":"Institute of Biophysical Chemistry, Goethe-University, Frankfurt am Main, Germany"},{"name":"Department of Chemistry, Tokyo Metropolitan University, Japan"},{"name":"Laboratory of Physical Chemistry, ETH Z\u00fcrich, Z\u00fcrich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chojiro","family":"Kojima","sequence":"additional","affiliation":[{"name":"College of Engineering Science, Yokohama National University, Yokohama, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshimichi","family":"Fujiwara","sequence":"additional","affiliation":[{"name":"Institute for Protein Research, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2018,7,9]]},"reference":[{"key":"2023012712261279200_bty581-B1","doi-asserted-by":"crossref","first-page":"W542","DOI":"10.1093\/nar\/gks373","article-title":"RPF: a quality assessment tool for protein NMR structures","volume":"40","author":"Huang","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023012712261279200_bty581-B2","doi-asserted-by":"crossref","first-page":"2981","DOI":"10.1093\/bioinformatics\/btv318","article-title":"Computer vision-based automated peak picking applied to protein NMR spectra","volume":"31","author":"Klukowski","year":"2015","journal-title":"Bioinformatics"},{"key":"2023012712261279200_bty581-B3","doi-asserted-by":"crossref","first-page":"12817","DOI":"10.1021\/ja305091n","article-title":"A new algorithm for reliable and general NMR resonance assignment","volume":"134","author":"Schmidt","year":"2012","journal-title":"J. Am. Chem. Soc"},{"key":"2023012712261279200_bty581-B4","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s10858-012-9645-2","article-title":"The J-UNIO protocol for automated protein structure determination by NMR in solution","volume":"53","author":"Serrano","year":"2012","journal-title":"J. Biomol. NMR"},{"key":"2023012712261279200_bty581-B5","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10858-009-9333-z","article-title":"TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts","volume":"44","author":"Shen","year":"2009","journal-title":"J. Biomol. NMR"},{"key":"2023012712261279200_bty581-B6","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.csbj.2017.04.001","article-title":"Modern technologies of solution nuclear magnetic resonance spectroscopy for three-dimensional structure determination of proteins open avenues for life scientists","volume":"15","author":"Sugiki","year":"2017","journal-title":"Comput. Struct. Biotechnol. J"},{"key":"2023012712261279200_bty581-B7","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s10858-016-0084-3","article-title":"Peak picking multidimensional NMR spectra with the contour geometry based algorithm CYPICK","volume":"67","author":"W\u00fcrz","year":"2017","journal-title":"J. Biomol. 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