Critical assessment of protein intrinsic disorder prediction
- Autores
- Necci, Marco; Piovesan, Damiano; Hoque, Md Tamjidul; Walsh, Ian; Iqbal, Sumaiya; Vendruscolo, Michele; Sormanni, Pietro; Wang, Chen; Raimondi, Daniele; Sharma, Ronesh; Zhou, Yaoqi; Litfin, Thomas; Galzitskaya, Oxana Valerianovna; Lobanov, Michail Yu.; Vranken, Wim; Wallner, Björn; Mirabello, Claudio; Malhis, Nawar; Dosztányi, Zsuzsanna; Erdős, Gábor; Mészáros, Bálint; Gao, Jianzhao; Wang, Kui; Hu, Gang; Wu, Zhonghua; Sharma, Alok; Hanson, Jack; Paliwal, Kuldip; Callebaut, Isabelle; Bitard-Feildel, Tristan; Orlando, Gabriele; Peng, Zhenling; Xu, Jinbo; Wang, Sheng; Jones, David T.; Cozzetto, Domenico; Meng, Fanchi; Yan, Jing; Gsponer, Jörg; Cheng, Jianlin; Wu, Tianqi; Kurgan, Lukasz; Promponas, Vasilis J.; Tamana, Stella; Marino, Cristina Ester; Martinez Perez, Elizabeth; Chasapi, Anastasia; Ouzounis, Christos; Dunker, A. Keith; Kajava, Andrey V.; Leclercq, Jeremy Y.; Aykac-Fas, Burcu; Lambrughi, Matteo; Maiani, Emiliano; Papaleo, Elena; Chemes, Lucia Beatriz; Álvarez, Lucía; González Foutel, Nicolás Sebastián; Iglesias, Valentin; Pujols, Jordi; Ventura, Salvador; Palopoli, Nicolás; Benítez, Guillermo Ignacio; Parisi, Gustavo Daniel; Bassot, Claudio; Elofsson, Arne; Govindarajan, Sudha; Lamb, John; Salvatore, Marco; Hatos, András; Monzon, Alexander Miguel; Bevilacqua, Martina; Mi?eti?, Ivan; Minervini, Giovanni; Paladin, Lisanna; Quaglia, Federica; Leonardi, Emanuela; Davey, Norman; Horvath, Tamas; Kovacs, Orsolya Panna; Murvai, Nikoletta; Pancsa, Rita; Schad, Eva; Szabo, Beata; Tantos, Agnes; Macedo Ribeiro, Sandra; Manso, Jose Antonio; Pereira, Pedro José Barbosa; Davidović, Radoslav; Veljkovic, Nevena; Hajdu Soltész, Borbála; Pajkos, Mátyás; Szaniszló, Tamás; Guharoy, Mainak; Lazar, Tamas; Macossay Castillo, Mauricio; Tompa, Peter; Tosatto, Silvio C. E.
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Intrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude.
Fil: Necci, Marco. Università di Padova; Italia
Fil: Piovesan, Damiano. Università di Padova; Italia
Fil: Hoque, Md Tamjidul. University of New Orleans; Estados Unidos
Fil: Walsh, Ian. No especifíca;
Fil: Iqbal, Sumaiya. No especifíca;
Fil: Vendruscolo, Michele. University of Cambridge; Estados Unidos
Fil: Sormanni, Pietro. University of Cambridge; Estados Unidos
Fil: Wang, Chen. Columbia University; Estados Unidos
Fil: Raimondi, Daniele. Katholikie Universiteit Leuven; Bélgica
Fil: Sharma, Ronesh. No especifíca;
Fil: Zhou, Yaoqi. Griffith University; Australia
Fil: Litfin, Thomas. Griffith University; Australia
Fil: Galzitskaya, Oxana Valerianovna. No especifíca;
Fil: Lobanov, Michail Yu.. No especifíca;
Fil: Vranken, Wim. No especifíca;
Fil: Wallner, Björn. Linköping University; Suecia
Fil: Mirabello, Claudio. Linköping University; Suecia
Fil: Malhis, Nawar. No especifíca;
Fil: Dosztányi, Zsuzsanna. Eötvös University; Hungría
Fil: Erdős, Gábor. Eötvös University; Hungría
Fil: Mészáros, Bálint. European Molecular Biology Laboratory; Alemania
Fil: Gao, Jianzhao. Nankai University; China
Fil: Wang, Kui. Nankai University; China
Fil: Hu, Gang. Nankai University; China
Fil: Wu, Zhonghua. Nankai University; China
Fil: Sharma, Alok. Griffith University; Australia
Fil: Hanson, Jack. Griffith University; Australia
Fil: Paliwal, Kuldip. Griffith University; Australia
Fil: Callebaut, Isabelle. Université Pierre et Marie Curie; Francia
Fil: Bitard-Feildel, Tristan. Université Pierre et Marie Curie; Francia
Fil: Orlando, Gabriele. Katholikie Universiteit Leuven; Bélgica
Fil: Peng, Zhenling. Tianjin University; China
Fil: Xu, Jinbo. Toyota Technological Institute At Chicago; Estados Unidos
Fil: Wang, Sheng. Toyota Technological Institute At Chicago; Estados Unidos
Fil: Jones, David T.. Colegio Universitario de Londres; Reino Unido
Fil: Cozzetto, Domenico. Colegio Universitario de Londres; Reino Unido
Fil: Meng, Fanchi. University of Alberta; Canadá
Fil: Yan, Jing. University of Alberta; Canadá
Fil: Gsponer, Jörg. Michael Smith Laboratories; Canadá
Fil: Cheng, Jianlin. University of Missouri; Estados Unidos
Fil: Wu, Tianqi. University of Missouri; Estados Unidos
Fil: Kurgan, Lukasz. Virginia Commonwealth University; Estados Unidos
Fil: Promponas, Vasilis J.. University Of Cyprus; Chipre
Fil: Tamana, Stella. University Of Cyprus; Chipre
Fil: Marino, Cristina Ester. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Martinez Perez, Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Chasapi, Anastasia. Centre for Research and Technology Hellas; Grecia
Fil: Ouzounis, Christos. Centre for Research and Technology Hellas; Grecia
Fil: Dunker, A. Keith. Indiana University. School of Medicine; Estados Unidos
Fil: Kajava, Andrey V.. National Research Institute of Science and Technology. Centre de Montpellier; Francia
Fil: Leclercq, Jeremy Y.. National Research Institute of Science and Technology. Centre de Montpellier; Francia
Fil: Aykac-Fas, Burcu. Danish Cancer Society Research Center; Dinamarca
Fil: Lambrughi, Matteo. Danish Cancer Society Research Center; Dinamarca
Fil: Maiani, Emiliano. Danish Cancer Society Research Center; Dinamarca
Fil: Papaleo, Elena. Danish Cancer Society Research Center; Dinamarca
Fil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina
Fil: Álvarez, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina
Fil: González Foutel, Nicolás Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina
Fil: Iglesias, Valentin. Universitat Autònoma de Barcelona; España
Fil: Pujols, Jordi. Universitat Autònoma de Barcelona; España
Fil: Ventura, Salvador. Universitat Autònoma de Barcelona; España
Fil: Palopoli, Nicolás. Universidad Nacional de Quilmes; Argentina
Fil: Benítez, Guillermo Ignacio. Universidad Nacional de Quilmes; Argentina
Fil: Parisi, Gustavo Daniel. Universidad Nacional de Quilmes; Argentina
Fil: Bassot, Claudio. Stockholms Universitet; Suecia
Fil: Elofsson, Arne. Stockholms Universitet; Suecia
Fil: Govindarajan, Sudha. Stockholms Universitet; Suecia
Fil: Lamb, John. Stockholms Universitet; Suecia
Fil: Salvatore, Marco. Universidad de Copenhagen; Dinamarca
Fil: Hatos, András. Università di Padova; Italia
Fil: Monzon, Alexander Miguel. Università di Padova; Italia
Fil: Bevilacqua, Martina. Università di Padova; Italia
Fil: Mi?eti?, Ivan. Università di Padova; Italia
Fil: Minervini, Giovanni. Università di Padova; Italia
Fil: Paladin, Lisanna. Università di Padova; Italia
Fil: Quaglia, Federica. Università di Padova; Italia
Fil: Leonardi, Emanuela. Università di Padova; Italia
Fil: Davey, Norman. The Institute Of Cancer Research; Reino Unido
Fil: Horvath, Tamas. Institute Of Enzymology; Hungría
Fil: Kovacs, Orsolya Panna. Institute Of Enzymology; Hungría
Fil: Murvai, Nikoletta. Institute Of Enzymology; Hungría
Fil: Pancsa, Rita. Institute Of Enzymology; Hungría
Fil: Schad, Eva. Institute Of Enzymology; Hungría
Fil: Szabo, Beata. Institute Of Enzymology; Hungría
Fil: Tantos, Agnes. Institute Of Enzymology; Hungría
Fil: Macedo Ribeiro, Sandra. Universidad de Porto; Portugal
Fil: Manso, Jose Antonio. Universidad de Porto; Portugal
Fil: Pereira, Pedro José Barbosa. Universidad de Porto; Portugal
Fil: Davidović, Radoslav. National Institute of thе Republic of Serbia; Serbia
Fil: Veljkovic, Nevena. National Institute of thе Republic of Serbia; Serbia
Fil: Hajdu Soltész, Borbála. Eötvös University; Hungría
Fil: Pajkos, Mátyás. Eötvös University; Hungría
Fil: Szaniszló, Tamás. Eötvös University; Hungría
Fil: Guharoy, Mainak. Vrije Unviversiteit Brussel; Bélgica
Fil: Lazar, Tamas. Vrije Unviversiteit Brussel; Bélgica
Fil: Macossay Castillo, Mauricio. Vrije Unviversiteit Brussel; Bélgica
Fil: Tompa, Peter. Vrije Unviversiteit Brussel; Bélgica
Fil: Tosatto, Silvio C. E.. Università di Padova; Italia - Materia
-
Intrinsically disordered proteins
disorder
CAID
disorder prediction - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/143754
Ver los metadatos del registro completo
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Critical assessment of protein intrinsic disorder predictionNecci, MarcoPiovesan, DamianoHoque, Md TamjidulWalsh, IanIqbal, SumaiyaVendruscolo, MicheleSormanni, PietroWang, ChenRaimondi, DanieleSharma, RoneshZhou, YaoqiLitfin, ThomasGalzitskaya, Oxana ValerianovnaLobanov, Michail Yu.Vranken, WimWallner, BjörnMirabello, ClaudioMalhis, NawarDosztányi, ZsuzsannaErdős, GáborMészáros, BálintGao, JianzhaoWang, KuiHu, GangWu, ZhonghuaSharma, AlokHanson, JackPaliwal, KuldipCallebaut, IsabelleBitard-Feildel, TristanOrlando, GabrielePeng, ZhenlingXu, JinboWang, ShengJones, David T.Cozzetto, DomenicoMeng, FanchiYan, JingGsponer, JörgCheng, JianlinWu, TianqiKurgan, LukaszPromponas, Vasilis J.Tamana, StellaMarino, Cristina EsterMartinez Perez, ElizabethChasapi, AnastasiaOuzounis, ChristosDunker, A. KeithKajava, Andrey V.Leclercq, Jeremy Y.Aykac-Fas, BurcuLambrughi, MatteoMaiani, EmilianoPapaleo, ElenaChemes, Lucia BeatrizÁlvarez, LucíaGonzález Foutel, Nicolás SebastiánIglesias, ValentinPujols, JordiVentura, SalvadorPalopoli, NicolásBenítez, Guillermo IgnacioParisi, Gustavo DanielBassot, ClaudioElofsson, ArneGovindarajan, SudhaLamb, JohnSalvatore, MarcoHatos, AndrásMonzon, Alexander MiguelBevilacqua, MartinaMi?eti?, IvanMinervini, GiovanniPaladin, LisannaQuaglia, FedericaLeonardi, EmanuelaDavey, NormanHorvath, TamasKovacs, Orsolya PannaMurvai, NikolettaPancsa, RitaSchad, EvaSzabo, BeataTantos, AgnesMacedo Ribeiro, SandraManso, Jose AntonioPereira, Pedro José BarbosaDavidović, RadoslavVeljkovic, NevenaHajdu Soltész, BorbálaPajkos, MátyásSzaniszló, TamásGuharoy, MainakLazar, TamasMacossay Castillo, MauricioTompa, PeterTosatto, Silvio C. E.Intrinsically disordered proteinsdisorderCAIDdisorder predictionhttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1Intrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude.Fil: Necci, Marco. Università di Padova; ItaliaFil: Piovesan, Damiano. Università di Padova; ItaliaFil: Hoque, Md Tamjidul. University of New Orleans; Estados UnidosFil: Walsh, Ian. No especifíca;Fil: Iqbal, Sumaiya. No especifíca;Fil: Vendruscolo, Michele. University of Cambridge; Estados UnidosFil: Sormanni, Pietro. University of Cambridge; Estados UnidosFil: Wang, Chen. Columbia University; Estados UnidosFil: Raimondi, Daniele. Katholikie Universiteit Leuven; BélgicaFil: Sharma, Ronesh. No especifíca;Fil: Zhou, Yaoqi. Griffith University; AustraliaFil: Litfin, Thomas. Griffith University; AustraliaFil: Galzitskaya, Oxana Valerianovna. No especifíca;Fil: Lobanov, Michail Yu.. No especifíca;Fil: Vranken, Wim. No especifíca;Fil: Wallner, Björn. Linköping University; SueciaFil: Mirabello, Claudio. Linköping University; SueciaFil: Malhis, Nawar. No especifíca;Fil: Dosztányi, Zsuzsanna. Eötvös University; HungríaFil: Erdős, Gábor. Eötvös University; HungríaFil: Mészáros, Bálint. European Molecular Biology Laboratory; AlemaniaFil: Gao, Jianzhao. Nankai University; ChinaFil: Wang, Kui. Nankai University; ChinaFil: Hu, Gang. Nankai University; ChinaFil: Wu, Zhonghua. Nankai University; ChinaFil: Sharma, Alok. Griffith University; AustraliaFil: Hanson, Jack. Griffith University; AustraliaFil: Paliwal, Kuldip. Griffith University; AustraliaFil: Callebaut, Isabelle. Université Pierre et Marie Curie; FranciaFil: Bitard-Feildel, Tristan. Université Pierre et Marie Curie; FranciaFil: Orlando, Gabriele. Katholikie Universiteit Leuven; BélgicaFil: Peng, Zhenling. Tianjin University; ChinaFil: Xu, Jinbo. Toyota Technological Institute At Chicago; Estados UnidosFil: Wang, Sheng. Toyota Technological Institute At Chicago; Estados UnidosFil: Jones, David T.. Colegio Universitario de Londres; Reino UnidoFil: Cozzetto, Domenico. Colegio Universitario de Londres; Reino UnidoFil: Meng, Fanchi. University of Alberta; CanadáFil: Yan, Jing. University of Alberta; CanadáFil: Gsponer, Jörg. Michael Smith Laboratories; CanadáFil: Cheng, Jianlin. University of Missouri; Estados UnidosFil: Wu, Tianqi. University of Missouri; Estados UnidosFil: Kurgan, Lukasz. Virginia Commonwealth University; Estados UnidosFil: Promponas, Vasilis J.. University Of Cyprus; ChipreFil: Tamana, Stella. University Of Cyprus; ChipreFil: Marino, Cristina Ester. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Martinez Perez, Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Chasapi, Anastasia. Centre for Research and Technology Hellas; GreciaFil: Ouzounis, Christos. Centre for Research and Technology Hellas; GreciaFil: Dunker, A. Keith. Indiana University. School of Medicine; Estados UnidosFil: Kajava, Andrey V.. National Research Institute of Science and Technology. Centre de Montpellier; FranciaFil: Leclercq, Jeremy Y.. National Research Institute of Science and Technology. Centre de Montpellier; FranciaFil: Aykac-Fas, Burcu. Danish Cancer Society Research Center; DinamarcaFil: Lambrughi, Matteo. Danish Cancer Society Research Center; DinamarcaFil: Maiani, Emiliano. Danish Cancer Society Research Center; DinamarcaFil: Papaleo, Elena. Danish Cancer Society Research Center; DinamarcaFil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; ArgentinaFil: Álvarez, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; ArgentinaFil: González Foutel, Nicolás Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; ArgentinaFil: Iglesias, Valentin. Universitat Autònoma de Barcelona; EspañaFil: Pujols, Jordi. Universitat Autònoma de Barcelona; EspañaFil: Ventura, Salvador. Universitat Autònoma de Barcelona; EspañaFil: Palopoli, Nicolás. Universidad Nacional de Quilmes; ArgentinaFil: Benítez, Guillermo Ignacio. Universidad Nacional de Quilmes; ArgentinaFil: Parisi, Gustavo Daniel. Universidad Nacional de Quilmes; ArgentinaFil: Bassot, Claudio. Stockholms Universitet; SueciaFil: Elofsson, Arne. Stockholms Universitet; SueciaFil: Govindarajan, Sudha. Stockholms Universitet; SueciaFil: Lamb, John. Stockholms Universitet; SueciaFil: Salvatore, Marco. Universidad de Copenhagen; DinamarcaFil: Hatos, András. Università di Padova; ItaliaFil: Monzon, Alexander Miguel. Università di Padova; ItaliaFil: Bevilacqua, Martina. Università di Padova; ItaliaFil: Mi?eti?, Ivan. Università di Padova; ItaliaFil: Minervini, Giovanni. Università di Padova; ItaliaFil: Paladin, Lisanna. Università di Padova; ItaliaFil: Quaglia, Federica. Università di Padova; ItaliaFil: Leonardi, Emanuela. Università di Padova; ItaliaFil: Davey, Norman. The Institute Of Cancer Research; Reino UnidoFil: Horvath, Tamas. Institute Of Enzymology; HungríaFil: Kovacs, Orsolya Panna. Institute Of Enzymology; HungríaFil: Murvai, Nikoletta. Institute Of Enzymology; HungríaFil: Pancsa, Rita. Institute Of Enzymology; HungríaFil: Schad, Eva. Institute Of Enzymology; HungríaFil: Szabo, Beata. Institute Of Enzymology; HungríaFil: Tantos, Agnes. Institute Of Enzymology; HungríaFil: Macedo Ribeiro, Sandra. Universidad de Porto; PortugalFil: Manso, Jose Antonio. Universidad de Porto; PortugalFil: Pereira, Pedro José Barbosa. Universidad de Porto; PortugalFil: Davidović, Radoslav. National Institute of thе Republic of Serbia; SerbiaFil: Veljkovic, Nevena. National Institute of thе Republic of Serbia; SerbiaFil: Hajdu Soltész, Borbála. Eötvös University; HungríaFil: Pajkos, Mátyás. Eötvös University; HungríaFil: Szaniszló, Tamás. Eötvös University; HungríaFil: Guharoy, Mainak. Vrije Unviversiteit Brussel; BélgicaFil: Lazar, Tamas. Vrije Unviversiteit Brussel; BélgicaFil: Macossay Castillo, Mauricio. Vrije Unviversiteit Brussel; BélgicaFil: Tompa, Peter. Vrije Unviversiteit Brussel; BélgicaFil: Tosatto, Silvio C. E.. Università di Padova; ItaliaNature Publishing Group2021-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/143754Necci, Marco; Piovesan, Damiano; Hoque, Md Tamjidul; Walsh, Ian; Iqbal, Sumaiya; et al.; Critical assessment of protein intrinsic disorder prediction; Nature Publishing Group; Nature Methods; 18; 5; 4-2021; 472-4811548-7091CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41592-021-01117-3info:eu-repo/semantics/altIdentifier/doi/10.1038/s41592-021-01117-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:41Zoai:ri.conicet.gov.ar:11336/143754instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:08:42.059CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Critical assessment of protein intrinsic disorder prediction |
title |
Critical assessment of protein intrinsic disorder prediction |
spellingShingle |
Critical assessment of protein intrinsic disorder prediction Necci, Marco Intrinsically disordered proteins disorder CAID disorder prediction |
title_short |
Critical assessment of protein intrinsic disorder prediction |
title_full |
Critical assessment of protein intrinsic disorder prediction |
title_fullStr |
Critical assessment of protein intrinsic disorder prediction |
title_full_unstemmed |
Critical assessment of protein intrinsic disorder prediction |
title_sort |
Critical assessment of protein intrinsic disorder prediction |
dc.creator.none.fl_str_mv |
Necci, Marco Piovesan, Damiano Hoque, Md Tamjidul Walsh, Ian Iqbal, Sumaiya Vendruscolo, Michele Sormanni, Pietro Wang, Chen Raimondi, Daniele Sharma, Ronesh Zhou, Yaoqi Litfin, Thomas Galzitskaya, Oxana Valerianovna Lobanov, Michail Yu. Vranken, Wim Wallner, Björn Mirabello, Claudio Malhis, Nawar Dosztányi, Zsuzsanna Erdős, Gábor Mészáros, Bálint Gao, Jianzhao Wang, Kui Hu, Gang Wu, Zhonghua Sharma, Alok Hanson, Jack Paliwal, Kuldip Callebaut, Isabelle Bitard-Feildel, Tristan Orlando, Gabriele Peng, Zhenling Xu, Jinbo Wang, Sheng Jones, David T. Cozzetto, Domenico Meng, Fanchi Yan, Jing Gsponer, Jörg Cheng, Jianlin Wu, Tianqi Kurgan, Lukasz Promponas, Vasilis J. Tamana, Stella Marino, Cristina Ester Martinez Perez, Elizabeth Chasapi, Anastasia Ouzounis, Christos Dunker, A. Keith Kajava, Andrey V. Leclercq, Jeremy Y. Aykac-Fas, Burcu Lambrughi, Matteo Maiani, Emiliano Papaleo, Elena Chemes, Lucia Beatriz Álvarez, Lucía González Foutel, Nicolás Sebastián Iglesias, Valentin Pujols, Jordi Ventura, Salvador Palopoli, Nicolás Benítez, Guillermo Ignacio Parisi, Gustavo Daniel Bassot, Claudio Elofsson, Arne Govindarajan, Sudha Lamb, John Salvatore, Marco Hatos, András Monzon, Alexander Miguel Bevilacqua, Martina Mi?eti?, Ivan Minervini, Giovanni Paladin, Lisanna Quaglia, Federica Leonardi, Emanuela Davey, Norman Horvath, Tamas Kovacs, Orsolya Panna Murvai, Nikoletta Pancsa, Rita Schad, Eva Szabo, Beata Tantos, Agnes Macedo Ribeiro, Sandra Manso, Jose Antonio Pereira, Pedro José Barbosa Davidović, Radoslav Veljkovic, Nevena Hajdu Soltész, Borbála Pajkos, Mátyás Szaniszló, Tamás Guharoy, Mainak Lazar, Tamas Macossay Castillo, Mauricio Tompa, Peter Tosatto, Silvio C. E. |
author |
Necci, Marco |
author_facet |
Necci, Marco Piovesan, Damiano Hoque, Md Tamjidul Walsh, Ian Iqbal, Sumaiya Vendruscolo, Michele Sormanni, Pietro Wang, Chen Raimondi, Daniele Sharma, Ronesh Zhou, Yaoqi Litfin, Thomas Galzitskaya, Oxana Valerianovna Lobanov, Michail Yu. Vranken, Wim Wallner, Björn Mirabello, Claudio Malhis, Nawar Dosztányi, Zsuzsanna Erdős, Gábor Mészáros, Bálint Gao, Jianzhao Wang, Kui Hu, Gang Wu, Zhonghua Sharma, Alok Hanson, Jack Paliwal, Kuldip Callebaut, Isabelle Bitard-Feildel, Tristan Orlando, Gabriele Peng, Zhenling Xu, Jinbo Wang, Sheng Jones, David T. Cozzetto, Domenico Meng, Fanchi Yan, Jing Gsponer, Jörg Cheng, Jianlin Wu, Tianqi Kurgan, Lukasz Promponas, Vasilis J. Tamana, Stella Marino, Cristina Ester Martinez Perez, Elizabeth Chasapi, Anastasia Ouzounis, Christos Dunker, A. Keith Kajava, Andrey V. Leclercq, Jeremy Y. Aykac-Fas, Burcu Lambrughi, Matteo Maiani, Emiliano Papaleo, Elena Chemes, Lucia Beatriz Álvarez, Lucía González Foutel, Nicolás Sebastián Iglesias, Valentin Pujols, Jordi Ventura, Salvador Palopoli, Nicolás Benítez, Guillermo Ignacio Parisi, Gustavo Daniel Bassot, Claudio Elofsson, Arne Govindarajan, Sudha Lamb, John Salvatore, Marco Hatos, András Monzon, Alexander Miguel Bevilacqua, Martina Mi?eti?, Ivan Minervini, Giovanni Paladin, Lisanna Quaglia, Federica Leonardi, Emanuela Davey, Norman Horvath, Tamas Kovacs, Orsolya Panna Murvai, Nikoletta Pancsa, Rita Schad, Eva Szabo, Beata Tantos, Agnes Macedo Ribeiro, Sandra Manso, Jose Antonio Pereira, Pedro José Barbosa Davidović, Radoslav Veljkovic, Nevena Hajdu Soltész, Borbála Pajkos, Mátyás Szaniszló, Tamás Guharoy, Mainak Lazar, Tamas Macossay Castillo, Mauricio Tompa, Peter Tosatto, Silvio C. E. |
author_role |
author |
author2 |
Piovesan, Damiano Hoque, Md Tamjidul Walsh, Ian Iqbal, Sumaiya Vendruscolo, Michele Sormanni, Pietro Wang, Chen Raimondi, Daniele Sharma, Ronesh Zhou, Yaoqi Litfin, Thomas Galzitskaya, Oxana Valerianovna Lobanov, Michail Yu. Vranken, Wim Wallner, Björn Mirabello, Claudio Malhis, Nawar Dosztányi, Zsuzsanna Erdős, Gábor Mészáros, Bálint Gao, Jianzhao Wang, Kui Hu, Gang Wu, Zhonghua Sharma, Alok Hanson, Jack Paliwal, Kuldip Callebaut, Isabelle Bitard-Feildel, Tristan Orlando, Gabriele Peng, Zhenling Xu, Jinbo Wang, Sheng Jones, David T. Cozzetto, Domenico Meng, Fanchi Yan, Jing Gsponer, Jörg Cheng, Jianlin Wu, Tianqi Kurgan, Lukasz Promponas, Vasilis J. Tamana, Stella Marino, Cristina Ester Martinez Perez, Elizabeth Chasapi, Anastasia Ouzounis, Christos Dunker, A. Keith Kajava, Andrey V. Leclercq, Jeremy Y. Aykac-Fas, Burcu Lambrughi, Matteo Maiani, Emiliano Papaleo, Elena Chemes, Lucia Beatriz Álvarez, Lucía González Foutel, Nicolás Sebastián Iglesias, Valentin Pujols, Jordi Ventura, Salvador Palopoli, Nicolás Benítez, Guillermo Ignacio Parisi, Gustavo Daniel Bassot, Claudio Elofsson, Arne Govindarajan, Sudha Lamb, John Salvatore, Marco Hatos, András Monzon, Alexander Miguel Bevilacqua, Martina Mi?eti?, Ivan Minervini, Giovanni Paladin, Lisanna Quaglia, Federica Leonardi, Emanuela Davey, Norman Horvath, Tamas Kovacs, Orsolya Panna Murvai, Nikoletta Pancsa, Rita Schad, Eva Szabo, Beata Tantos, Agnes Macedo Ribeiro, Sandra Manso, Jose Antonio Pereira, Pedro José Barbosa Davidović, Radoslav Veljkovic, Nevena Hajdu Soltész, Borbála Pajkos, Mátyás Szaniszló, Tamás Guharoy, Mainak Lazar, Tamas Macossay Castillo, Mauricio Tompa, Peter Tosatto, Silvio C. E. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Intrinsically disordered proteins disorder CAID disorder prediction |
topic |
Intrinsically disordered proteins disorder CAID disorder prediction |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.7 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Intrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude. Fil: Necci, Marco. Università di Padova; Italia Fil: Piovesan, Damiano. Università di Padova; Italia Fil: Hoque, Md Tamjidul. University of New Orleans; Estados Unidos Fil: Walsh, Ian. No especifíca; Fil: Iqbal, Sumaiya. No especifíca; Fil: Vendruscolo, Michele. University of Cambridge; Estados Unidos Fil: Sormanni, Pietro. University of Cambridge; Estados Unidos Fil: Wang, Chen. Columbia University; Estados Unidos Fil: Raimondi, Daniele. Katholikie Universiteit Leuven; Bélgica Fil: Sharma, Ronesh. No especifíca; Fil: Zhou, Yaoqi. Griffith University; Australia Fil: Litfin, Thomas. Griffith University; Australia Fil: Galzitskaya, Oxana Valerianovna. No especifíca; Fil: Lobanov, Michail Yu.. No especifíca; Fil: Vranken, Wim. No especifíca; Fil: Wallner, Björn. Linköping University; Suecia Fil: Mirabello, Claudio. Linköping University; Suecia Fil: Malhis, Nawar. No especifíca; Fil: Dosztányi, Zsuzsanna. Eötvös University; Hungría Fil: Erdős, Gábor. Eötvös University; Hungría Fil: Mészáros, Bálint. European Molecular Biology Laboratory; Alemania Fil: Gao, Jianzhao. Nankai University; China Fil: Wang, Kui. Nankai University; China Fil: Hu, Gang. Nankai University; China Fil: Wu, Zhonghua. Nankai University; China Fil: Sharma, Alok. Griffith University; Australia Fil: Hanson, Jack. Griffith University; Australia Fil: Paliwal, Kuldip. Griffith University; Australia Fil: Callebaut, Isabelle. Université Pierre et Marie Curie; Francia Fil: Bitard-Feildel, Tristan. Université Pierre et Marie Curie; Francia Fil: Orlando, Gabriele. Katholikie Universiteit Leuven; Bélgica Fil: Peng, Zhenling. Tianjin University; China Fil: Xu, Jinbo. Toyota Technological Institute At Chicago; Estados Unidos Fil: Wang, Sheng. Toyota Technological Institute At Chicago; Estados Unidos Fil: Jones, David T.. Colegio Universitario de Londres; Reino Unido Fil: Cozzetto, Domenico. Colegio Universitario de Londres; Reino Unido Fil: Meng, Fanchi. University of Alberta; Canadá Fil: Yan, Jing. University of Alberta; Canadá Fil: Gsponer, Jörg. Michael Smith Laboratories; Canadá Fil: Cheng, Jianlin. University of Missouri; Estados Unidos Fil: Wu, Tianqi. University of Missouri; Estados Unidos Fil: Kurgan, Lukasz. Virginia Commonwealth University; Estados Unidos Fil: Promponas, Vasilis J.. University Of Cyprus; Chipre Fil: Tamana, Stella. University Of Cyprus; Chipre Fil: Marino, Cristina Ester. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina Fil: Martinez Perez, Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina Fil: Chasapi, Anastasia. Centre for Research and Technology Hellas; Grecia Fil: Ouzounis, Christos. Centre for Research and Technology Hellas; Grecia Fil: Dunker, A. Keith. Indiana University. School of Medicine; Estados Unidos Fil: Kajava, Andrey V.. National Research Institute of Science and Technology. Centre de Montpellier; Francia Fil: Leclercq, Jeremy Y.. National Research Institute of Science and Technology. Centre de Montpellier; Francia Fil: Aykac-Fas, Burcu. Danish Cancer Society Research Center; Dinamarca Fil: Lambrughi, Matteo. Danish Cancer Society Research Center; Dinamarca Fil: Maiani, Emiliano. Danish Cancer Society Research Center; Dinamarca Fil: Papaleo, Elena. Danish Cancer Society Research Center; Dinamarca Fil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina Fil: Álvarez, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina Fil: González Foutel, Nicolás Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina Fil: Iglesias, Valentin. Universitat Autònoma de Barcelona; España Fil: Pujols, Jordi. Universitat Autònoma de Barcelona; España Fil: Ventura, Salvador. Universitat Autònoma de Barcelona; España Fil: Palopoli, Nicolás. Universidad Nacional de Quilmes; Argentina Fil: Benítez, Guillermo Ignacio. Universidad Nacional de Quilmes; Argentina Fil: Parisi, Gustavo Daniel. Universidad Nacional de Quilmes; Argentina Fil: Bassot, Claudio. Stockholms Universitet; Suecia Fil: Elofsson, Arne. Stockholms Universitet; Suecia Fil: Govindarajan, Sudha. Stockholms Universitet; Suecia Fil: Lamb, John. Stockholms Universitet; Suecia Fil: Salvatore, Marco. Universidad de Copenhagen; Dinamarca Fil: Hatos, András. Università di Padova; Italia Fil: Monzon, Alexander Miguel. Università di Padova; Italia Fil: Bevilacqua, Martina. Università di Padova; Italia Fil: Mi?eti?, Ivan. Università di Padova; Italia Fil: Minervini, Giovanni. Università di Padova; Italia Fil: Paladin, Lisanna. Università di Padova; Italia Fil: Quaglia, Federica. Università di Padova; Italia Fil: Leonardi, Emanuela. Università di Padova; Italia Fil: Davey, Norman. The Institute Of Cancer Research; Reino Unido Fil: Horvath, Tamas. Institute Of Enzymology; Hungría Fil: Kovacs, Orsolya Panna. Institute Of Enzymology; Hungría Fil: Murvai, Nikoletta. Institute Of Enzymology; Hungría Fil: Pancsa, Rita. Institute Of Enzymology; Hungría Fil: Schad, Eva. Institute Of Enzymology; Hungría Fil: Szabo, Beata. Institute Of Enzymology; Hungría Fil: Tantos, Agnes. Institute Of Enzymology; Hungría Fil: Macedo Ribeiro, Sandra. Universidad de Porto; Portugal Fil: Manso, Jose Antonio. Universidad de Porto; Portugal Fil: Pereira, Pedro José Barbosa. Universidad de Porto; Portugal Fil: Davidović, Radoslav. National Institute of thе Republic of Serbia; Serbia Fil: Veljkovic, Nevena. National Institute of thе Republic of Serbia; Serbia Fil: Hajdu Soltész, Borbála. Eötvös University; Hungría Fil: Pajkos, Mátyás. Eötvös University; Hungría Fil: Szaniszló, Tamás. Eötvös University; Hungría Fil: Guharoy, Mainak. Vrije Unviversiteit Brussel; Bélgica Fil: Lazar, Tamas. Vrije Unviversiteit Brussel; Bélgica Fil: Macossay Castillo, Mauricio. Vrije Unviversiteit Brussel; Bélgica Fil: Tompa, Peter. Vrije Unviversiteit Brussel; Bélgica Fil: Tosatto, Silvio C. E.. Università di Padova; Italia |
description |
Intrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/143754 Necci, Marco; Piovesan, Damiano; Hoque, Md Tamjidul; Walsh, Ian; Iqbal, Sumaiya; et al.; Critical assessment of protein intrinsic disorder prediction; Nature Publishing Group; Nature Methods; 18; 5; 4-2021; 472-481 1548-7091 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/143754 |
identifier_str_mv |
Necci, Marco; Piovesan, Damiano; Hoque, Md Tamjidul; Walsh, Ian; Iqbal, Sumaiya; et al.; Critical assessment of protein intrinsic disorder prediction; Nature Publishing Group; Nature Methods; 18; 5; 4-2021; 472-481 1548-7091 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41592-021-01117-3 info:eu-repo/semantics/altIdentifier/doi/10.1038/s41592-021-01117-3 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1842270055529709568 |
score |
13.13397 |