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A roadmap for the functional annotation of protein families: a community perspective

Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicte...

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Autores principales: de Crécy-lagard, Valérie, Amorin de Hegedus, Rocio, Arighi, Cecilia, Babor, Jill, Bateman, Alex, Blaby, Ian, Blaby-Haas, Crysten, Bridge, Alan J, Burley, Stephen K, Cleveland, Stacey, Colwell, Lucy J, Conesa, Ana, Dallago, Christian, Danchin, Antoine, de Waard, Anita, Deutschbauer, Adam, Dias, Raquel, Ding, Yousong, Fang, Gang, Friedberg, Iddo, Gerlt, John, Goldford, Joshua, Gorelik, Mark, Gyori, Benjamin M, Henry, Christopher, Hutinet, Geoffrey, Jaroch, Marshall, Karp, Peter D, Kondratova, Liudmyla, Lu, Zhiyong, Marchler-Bauer, Aron, Martin, Maria-Jesus, McWhite, Claire, Moghe, Gaurav D, Monaghan, Paul, Morgat, Anne, Mungall, Christopher J, Natale, Darren A, Nelson, William C, O’Donoghue, Seán, Orengo, Christine, O’Toole, Katherine H, Radivojac, Predrag, Reed, Colbie, Roberts, Richard J, Rodionov, Dmitri, Rodionova, Irina A, Rudolf, Jeffrey D, Saleh, Lana, Sheynkman, Gloria, Thibaud-Nissen, Francoise, Thomas, Paul D, Uetz, Peter, Vallenet, David, Carter, Erica Watson, Weigele, Peter R, Wood, Valerie, Wood-Charlson, Elisha M, Xu, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374478/
https://www.ncbi.nlm.nih.gov/pubmed/35961013
http://dx.doi.org/10.1093/database/baac062
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author de Crécy-lagard, Valérie
Amorin de Hegedus, Rocio
Arighi, Cecilia
Babor, Jill
Bateman, Alex
Blaby, Ian
Blaby-Haas, Crysten
Bridge, Alan J
Burley, Stephen K
Cleveland, Stacey
Colwell, Lucy J
Conesa, Ana
Dallago, Christian
Danchin, Antoine
de Waard, Anita
Deutschbauer, Adam
Dias, Raquel
Ding, Yousong
Fang, Gang
Friedberg, Iddo
Gerlt, John
Goldford, Joshua
Gorelik, Mark
Gyori, Benjamin M
Henry, Christopher
Hutinet, Geoffrey
Jaroch, Marshall
Karp, Peter D
Kondratova, Liudmyla
Lu, Zhiyong
Marchler-Bauer, Aron
Martin, Maria-Jesus
McWhite, Claire
Moghe, Gaurav D
Monaghan, Paul
Morgat, Anne
Mungall, Christopher J
Natale, Darren A
Nelson, William C
O’Donoghue, Seán
Orengo, Christine
O’Toole, Katherine H
Radivojac, Predrag
Reed, Colbie
Roberts, Richard J
Rodionov, Dmitri
Rodionova, Irina A
Rudolf, Jeffrey D
Saleh, Lana
Sheynkman, Gloria
Thibaud-Nissen, Francoise
Thomas, Paul D
Uetz, Peter
Vallenet, David
Carter, Erica Watson
Weigele, Peter R
Wood, Valerie
Wood-Charlson, Elisha M
Xu, Jin
author_facet de Crécy-lagard, Valérie
Amorin de Hegedus, Rocio
Arighi, Cecilia
Babor, Jill
Bateman, Alex
Blaby, Ian
Blaby-Haas, Crysten
Bridge, Alan J
Burley, Stephen K
Cleveland, Stacey
Colwell, Lucy J
Conesa, Ana
Dallago, Christian
Danchin, Antoine
de Waard, Anita
Deutschbauer, Adam
Dias, Raquel
Ding, Yousong
Fang, Gang
Friedberg, Iddo
Gerlt, John
Goldford, Joshua
Gorelik, Mark
Gyori, Benjamin M
Henry, Christopher
Hutinet, Geoffrey
Jaroch, Marshall
Karp, Peter D
Kondratova, Liudmyla
Lu, Zhiyong
Marchler-Bauer, Aron
Martin, Maria-Jesus
McWhite, Claire
Moghe, Gaurav D
Monaghan, Paul
Morgat, Anne
Mungall, Christopher J
Natale, Darren A
Nelson, William C
O’Donoghue, Seán
Orengo, Christine
O’Toole, Katherine H
Radivojac, Predrag
Reed, Colbie
Roberts, Richard J
Rodionov, Dmitri
Rodionova, Irina A
Rudolf, Jeffrey D
Saleh, Lana
Sheynkman, Gloria
Thibaud-Nissen, Francoise
Thomas, Paul D
Uetz, Peter
Vallenet, David
Carter, Erica Watson
Weigele, Peter R
Wood, Valerie
Wood-Charlson, Elisha M
Xu, Jin
author_sort de Crécy-lagard, Valérie
collection PubMed
description Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicted sequenced proteins carry an accurate functional annotation, and this percentage varies drastically between different organismal lineages. Such a large gap in knowledge hampers all aspects of biological enterprise and, thereby, is standing in the way of genomic biology reaching its full potential. A brainstorming meeting to address this issue funded by the National Science Foundation was held during 3–4 February 2022. Bringing together data scientists, biocurators, computational biologists and experimentalists within the same venue allowed for a comprehensive assessment of the current state of functional annotations of protein families. Further, major issues that were obstructing the field were identified and discussed, which ultimately allowed for the proposal of solutions on how to move forward.
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spelling pubmed-93744782022-08-15 A roadmap for the functional annotation of protein families: a community perspective de Crécy-lagard, Valérie Amorin de Hegedus, Rocio Arighi, Cecilia Babor, Jill Bateman, Alex Blaby, Ian Blaby-Haas, Crysten Bridge, Alan J Burley, Stephen K Cleveland, Stacey Colwell, Lucy J Conesa, Ana Dallago, Christian Danchin, Antoine de Waard, Anita Deutschbauer, Adam Dias, Raquel Ding, Yousong Fang, Gang Friedberg, Iddo Gerlt, John Goldford, Joshua Gorelik, Mark Gyori, Benjamin M Henry, Christopher Hutinet, Geoffrey Jaroch, Marshall Karp, Peter D Kondratova, Liudmyla Lu, Zhiyong Marchler-Bauer, Aron Martin, Maria-Jesus McWhite, Claire Moghe, Gaurav D Monaghan, Paul Morgat, Anne Mungall, Christopher J Natale, Darren A Nelson, William C O’Donoghue, Seán Orengo, Christine O’Toole, Katherine H Radivojac, Predrag Reed, Colbie Roberts, Richard J Rodionov, Dmitri Rodionova, Irina A Rudolf, Jeffrey D Saleh, Lana Sheynkman, Gloria Thibaud-Nissen, Francoise Thomas, Paul D Uetz, Peter Vallenet, David Carter, Erica Watson Weigele, Peter R Wood, Valerie Wood-Charlson, Elisha M Xu, Jin Database (Oxford) Meeting Report Over the last 25 years, biology has entered the genomic era and is becoming a science of ‘big data’. Most interpretations of genomic analyses rely on accurate functional annotations of the proteins encoded by more than 500 000 genomes sequenced to date. By different estimates, only half the predicted sequenced proteins carry an accurate functional annotation, and this percentage varies drastically between different organismal lineages. Such a large gap in knowledge hampers all aspects of biological enterprise and, thereby, is standing in the way of genomic biology reaching its full potential. A brainstorming meeting to address this issue funded by the National Science Foundation was held during 3–4 February 2022. Bringing together data scientists, biocurators, computational biologists and experimentalists within the same venue allowed for a comprehensive assessment of the current state of functional annotations of protein families. Further, major issues that were obstructing the field were identified and discussed, which ultimately allowed for the proposal of solutions on how to move forward. Oxford University Press 2022-08-12 /pmc/articles/PMC9374478/ /pubmed/35961013 http://dx.doi.org/10.1093/database/baac062 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Meeting Report
de Crécy-lagard, Valérie
Amorin de Hegedus, Rocio
Arighi, Cecilia
Babor, Jill
Bateman, Alex
Blaby, Ian
Blaby-Haas, Crysten
Bridge, Alan J
Burley, Stephen K
Cleveland, Stacey
Colwell, Lucy J
Conesa, Ana
Dallago, Christian
Danchin, Antoine
de Waard, Anita
Deutschbauer, Adam
Dias, Raquel
Ding, Yousong
Fang, Gang
Friedberg, Iddo
Gerlt, John
Goldford, Joshua
Gorelik, Mark
Gyori, Benjamin M
Henry, Christopher
Hutinet, Geoffrey
Jaroch, Marshall
Karp, Peter D
Kondratova, Liudmyla
Lu, Zhiyong
Marchler-Bauer, Aron
Martin, Maria-Jesus
McWhite, Claire
Moghe, Gaurav D
Monaghan, Paul
Morgat, Anne
Mungall, Christopher J
Natale, Darren A
Nelson, William C
O’Donoghue, Seán
Orengo, Christine
O’Toole, Katherine H
Radivojac, Predrag
Reed, Colbie
Roberts, Richard J
Rodionov, Dmitri
Rodionova, Irina A
Rudolf, Jeffrey D
Saleh, Lana
Sheynkman, Gloria
Thibaud-Nissen, Francoise
Thomas, Paul D
Uetz, Peter
Vallenet, David
Carter, Erica Watson
Weigele, Peter R
Wood, Valerie
Wood-Charlson, Elisha M
Xu, Jin
A roadmap for the functional annotation of protein families: a community perspective
title A roadmap for the functional annotation of protein families: a community perspective
title_full A roadmap for the functional annotation of protein families: a community perspective
title_fullStr A roadmap for the functional annotation of protein families: a community perspective
title_full_unstemmed A roadmap for the functional annotation of protein families: a community perspective
title_short A roadmap for the functional annotation of protein families: a community perspective
title_sort roadmap for the functional annotation of protein families: a community perspective
topic Meeting Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374478/
https://www.ncbi.nlm.nih.gov/pubmed/35961013
http://dx.doi.org/10.1093/database/baac062
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