Linguistic measures of chemical diversity and the “keywords” of molecular collections

Abstract Computerized linguistic analyses have proven of immense value in comparing and searching through large text collections (“corpora”), including those deposited on the Internet – indeed, it would nowadays be hard to imagine browsing the Web without, for instance, search algorithms extracting...

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Autores principales: Michał Woźniak, Agnieszka Wołos, Urszula Modrzyk, Rafał L. Górski, Jan Winkowski, Michał Bajczyk, Sara Szymkuć, Bartosz A. Grzybowski, Maciej Eder
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/cb3bb3ade27f4b13a2b20861629d946e
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spelling oai:doaj.org-article:cb3bb3ade27f4b13a2b20861629d946e2021-12-02T11:40:17ZLinguistic measures of chemical diversity and the “keywords” of molecular collections10.1038/s41598-018-25440-62045-2322https://doaj.org/article/cb3bb3ade27f4b13a2b20861629d946e2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25440-6https://doaj.org/toc/2045-2322Abstract Computerized linguistic analyses have proven of immense value in comparing and searching through large text collections (“corpora”), including those deposited on the Internet – indeed, it would nowadays be hard to imagine browsing the Web without, for instance, search algorithms extracting most appropriate keywords from documents. This paper describes how such corpus-linguistic concepts can be extended to chemistry based on characteristic “chemical words” that span more than traditional functional groups and, instead, look at common structural fragments molecules share. Using these words, it is possible to quantify the diversity of chemical collections/databases in new ways and to define molecular “keywords” by which such collections are best characterized and annotated.Michał WoźniakAgnieszka WołosUrszula ModrzykRafał L. GórskiJan WinkowskiMichał BajczykSara SzymkućBartosz A. GrzybowskiMaciej EderNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Michał Woźniak
Agnieszka Wołos
Urszula Modrzyk
Rafał L. Górski
Jan Winkowski
Michał Bajczyk
Sara Szymkuć
Bartosz A. Grzybowski
Maciej Eder
Linguistic measures of chemical diversity and the “keywords” of molecular collections
description Abstract Computerized linguistic analyses have proven of immense value in comparing and searching through large text collections (“corpora”), including those deposited on the Internet – indeed, it would nowadays be hard to imagine browsing the Web without, for instance, search algorithms extracting most appropriate keywords from documents. This paper describes how such corpus-linguistic concepts can be extended to chemistry based on characteristic “chemical words” that span more than traditional functional groups and, instead, look at common structural fragments molecules share. Using these words, it is possible to quantify the diversity of chemical collections/databases in new ways and to define molecular “keywords” by which such collections are best characterized and annotated.
format article
author Michał Woźniak
Agnieszka Wołos
Urszula Modrzyk
Rafał L. Górski
Jan Winkowski
Michał Bajczyk
Sara Szymkuć
Bartosz A. Grzybowski
Maciej Eder
author_facet Michał Woźniak
Agnieszka Wołos
Urszula Modrzyk
Rafał L. Górski
Jan Winkowski
Michał Bajczyk
Sara Szymkuć
Bartosz A. Grzybowski
Maciej Eder
author_sort Michał Woźniak
title Linguistic measures of chemical diversity and the “keywords” of molecular collections
title_short Linguistic measures of chemical diversity and the “keywords” of molecular collections
title_full Linguistic measures of chemical diversity and the “keywords” of molecular collections
title_fullStr Linguistic measures of chemical diversity and the “keywords” of molecular collections
title_full_unstemmed Linguistic measures of chemical diversity and the “keywords” of molecular collections
title_sort linguistic measures of chemical diversity and the “keywords” of molecular collections
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/cb3bb3ade27f4b13a2b20861629d946e
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