flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions

The authors present flDPnn, a computational tool for disorder and disorder function predictions from protein sequences. flDPnn was assessed with the data from the “Critical Assessment of Protein Intrinsic Disorder Prediction” experiment and on an independent and low-similarity test dataset, which sh...

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Autores principales: Gang Hu, Akila Katuwawala, Kui Wang, Zhonghua Wu, Sina Ghadermarzi, Jianzhao Gao, Lukasz Kurgan
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/9b467e5b636944909f7d8cf830f43acb
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spelling oai:doaj.org-article:9b467e5b636944909f7d8cf830f43acb2021-12-02T16:43:56ZflDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions10.1038/s41467-021-24773-72041-1723https://doaj.org/article/9b467e5b636944909f7d8cf830f43acb2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24773-7https://doaj.org/toc/2041-1723The authors present flDPnn, a computational tool for disorder and disorder function predictions from protein sequences. flDPnn was assessed with the data from the “Critical Assessment of Protein Intrinsic Disorder Prediction” experiment and on an independent and low-similarity test dataset, which show that flDPnn offers accurate predictions of disorder, fully disordered proteins and four common disorder functions.Gang HuAkila KatuwawalaKui WangZhonghua WuSina GhadermarziJianzhao GaoLukasz KurganNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Gang Hu
Akila Katuwawala
Kui Wang
Zhonghua Wu
Sina Ghadermarzi
Jianzhao Gao
Lukasz Kurgan
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
description The authors present flDPnn, a computational tool for disorder and disorder function predictions from protein sequences. flDPnn was assessed with the data from the “Critical Assessment of Protein Intrinsic Disorder Prediction” experiment and on an independent and low-similarity test dataset, which show that flDPnn offers accurate predictions of disorder, fully disordered proteins and four common disorder functions.
format article
author Gang Hu
Akila Katuwawala
Kui Wang
Zhonghua Wu
Sina Ghadermarzi
Jianzhao Gao
Lukasz Kurgan
author_facet Gang Hu
Akila Katuwawala
Kui Wang
Zhonghua Wu
Sina Ghadermarzi
Jianzhao Gao
Lukasz Kurgan
author_sort Gang Hu
title flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
title_short flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
title_full flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
title_fullStr flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
title_full_unstemmed flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
title_sort fldpnn: accurate intrinsic disorder prediction with putative propensities of disorder functions
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/9b467e5b636944909f7d8cf830f43acb
work_keys_str_mv AT ganghu fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
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AT kuiwang fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
AT zhonghuawu fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
AT sinaghadermarzi fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
AT jianzhaogao fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
AT lukaszkurgan fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions
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