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InterPro in 2022

delete2022-11-09
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T
Typhaine Paysan‐Lafosse *
M
Matthias Blum
S
Sara Chuguransky
T
Tiago Grego
B
Beatriz Lázaro
G
Gustavo A Salazar
M
Maxwell L. Bileschi
P
Peer Bork
A
Alan Bridge
L
Lucy J. Colwell
J
Julian Gough
D
Daniel H. Haft
I
Ivica Letunić
A
Aron Marchler‐Bauer
H
Huaiyu Mi
D
Darren A. Natale
C
Christine Orengo
A
Arun Prasad Pandurangan
C
Catherine Rivoire
C
Christian J A Sigrist
I
Ian Sillitoe
N
Narmada Thanki
P
Paul D. Thomas
S
Silvio C. E. Tosatto
C
Cathy Wu
A
Alex Bateman
DOI:10.1093/nar/gkac993delete
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Abstract

Abstract

En 中文
The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. Here, we report recent developments with InterPro (version 90.0) and its associated software, including updates to data content and to the website. These developments extend and enrich the information provided by InterPro, and provide a more user friendly access to the data. Additionally, we have worked on adding Pfam website features to the InterPro website, as the Pfam website will be retired in late 2022. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB. Moreover, we report the development of a card game as a method of engaging the non-scientific community. Finally, we discuss the benefits and challenges brought by the use of artificial intelligence for protein structure prediction.
Keywords:
FAMILY CLASSIFICATION
PROTEIN STRUCTURES
DATABASE
PREDICTION
TOPOLOGY
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization

N
national institutes of health (nih) - usa
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Papers: 8.2W
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U
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U
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N
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E
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U
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U
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M
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G
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G
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Papers: 1.3W
Citations: 1.5W
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