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

Paper Info

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

Abstract
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.

Year	DOI	Venue
2022	10.1093/database/baac062	DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
DocType	Volume	ISSN
Journal	2022	1758-0463
Citations	PageRank	References
0	0.34	0
Authors
59

Authors (59 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Valérie de Crécy-Lagard	1	4	1.10
Rocio Amorin de Hegedus	2	0	0.34
Cecilia Arighi	3	0	0.34
Jill Babor	4	0	0.34
Alex Bateman	5	5461	1054.58
Ian Blaby	6	0	0.34
Crysten Blaby-Haas	7	0	0.34
Alan J Bridge	8	0	0.34
Stephen K. Burley	9	230	17.85
Stacey Cleveland	10	0	0.34
Lucy J. Colwell	11	10	6.01
Ana Conesa	12	0	0.34
Christian Dallago	13	0	0.34
Antoine Danchin	14	110	18.22
Anita de Waard	15	65	13.02
Adam Deutschbauer	16	0	0.34
Raquel Dias	17	0	0.34
Yousong Ding	18	0	0.34
Gang Fang	19	0	0.34
Iddo Friedberg	20	498	35.78
John A. Gerlt	21	5	0.85
Joshua Goldford	22	0	0.34
Mark Gorelik	23	0	0.34
Benjamin M Gyori	24	1	0.75
Christopher Henry	25	0	0.34
Geoffrey Hutinet	26	0	0.34
Marshall Jaroch	27	0	0.34
Peter D. Karp	28	1974	622.10
Liudmyla Kondratova	29	0	0.34
Zhiyong Lu	30	2735	171.27
Aron Marchler-Bauer	31	0	0.34
Maria-Jesus Martin	32	0	0.34
Claire McWhite	33	0	0.34
Gaurav D Moghe	34	0	0.34
Paul Monaghan	35	0	0.34
Anne Morgat	36	0	0.34
Christopher J Mungall	37	0	0.34
Darren A. Natale	38	2771	408.32
William C Nelson	39	0	0.34
Seán O'Donoghue	40	0	0.34
Christine A. Orengo	41	1344	159.31
Katherine H O'Toole	42	0	0.34
Predrag Radivojac	43	646	58.89
Colbie Reed	44	0	0.34
Richard J Roberts	45	0	0.68
Dmitry A. Rodionov	46	33	6.59
Irina A Rodionova	47	0	0.34
Jeffrey D Rudolf	48	0	0.34
Lana Saleh	49	0	0.34
Gloria Sheynkman	50	0	0.34