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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Nature Portfolio
2021
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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) |
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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 AT akilakatuwawala fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions AT kuiwang fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions AT zhonghuawu fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions AT sinaghadermarzi fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions AT jianzhaogao fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions AT lukaszkurgan fldpnnaccurateintrinsicdisorderpredictionwithputativepropensitiesofdisorderfunctions |
_version_ |
1718383530646437888 |