InterPro in 2022

被引：1501

作者：

Paysan-Lafosse, Typhaine ^{[1
]}

Blum, Matthias ^{[1
]}

Chuguransky, Sara ^{[1
]}

Grego, Tiago ^{[1
]}

Pinto, Beatriz Lazaro ^{[1
]}

Salazar, Gustavo A. ^{[1
]}

Bileschi, Maxwell L. ^{[2
]}

Bork, Peer ^{[3
,15
,16
]}

Bridge, Alan ^{[4
]}

Colwell, Lucy ^{[2
,5
]}

Gough, Julian ^{[6
]}

Haft, Daniel H. ^{[7
]}

Letunic, Ivica ^{[8
]}

Marchler-Bauer, Aron ^{[7
]}

Mi, Huaiyu ^{[9
]}

Natale, Darren A. ^{[10
]}

Orengo, Christine A. ^{[11
]}

Pandurangan, Arun P. ^{[6
,12
]}

Rivoire, Catherine ^{[4
]}

Sigrist, Christian J. A. ^{[4
]}

Sillitoe, Ian ^{[11
]}

Thanki, Narmada ^{[7
]}

Thomas, Paul D. ^{[9
]}

Tosatto, Silvio C. E. ^{[13
]}

Wu, Cathy H. ^{[10
,14
]}

Bateman, Alex ^{[1
]}

机构：

[1] European Mol Biol Lab, European Bioinformat Inst EMBL EBI, Wellcome Genome Campus, Hinxton CB10 1SD, Cambs, England

[2] Google Res, Brain Team, Cambridge, MA USA

[3] European Mol Biol Lab, Struct & Computat Biol Unit, Meyerhofstr 1, D-69117 Heidelberg, Germany

[4] CMU, Swiss Inst Bioinformat, Swiss Prot Grp, 1 Rue Michel Servet, CH-1211 Geneva 4, Switzerland

[5] Univ Cambridge, Dept Chem, Cambridge, England

[6] Cambridge Biomed Campus, MRC, Lab Mol Biol, Francis Crick Ave, Cambridge CB2 0QH, England

[7] Natl Ctr Biotechnol Informat, Natl Lib Med, NIH, 8600 Rockville Pike, Bethesda, MD 20894 USA

[8] Biobyte Solut GmbH, Bothestr 142, D-69126 Heidelberg, Germany

[9] Univ Southern Calif, Dept Prevent Med, Div Bioinformat, Los Angeles, CA 90033 USA

[10] Georgetown Univ, Prot Informat Resource, Med Ctr, Washington, DC 20007 USA

[11] UCL, Dept Struct & Mol Biol, Gower St, London WC1E 6BT, England

[12] Univ Cambridge, Dept Biochem, Sanger Bldg, Cambridge, England

[13] Univ Padua, Dept Biomed Sci, Via U Bassi 58-B, I-35131 Padua, Italy

[14] Univ Delaware, Ctr Bioinformat & Computat Biol & Prot Informat R, Newark, DE 19711 USA

[15] Yonsei Univ, Yonsei Frontier Lab YFL, Seoul 03722, South Korea

[16] Univ Wurzburg, Bioctr, Dept Bioinformat, D-97074 Wurzburg, Germany

来源：

NUCLEIC ACIDS RESEARCH | 2023年 / 51卷 / D1期

基金：

美国国家科学基金会; 英国惠康基金; 美国国家卫生研究院; 英国生物技术与生命科学研究理事会;

关键词：

FAMILY CLASSIFICATION; PROTEIN STRUCTURES; DATABASE; PREDICTION; TOPOLOGY;

D O I：

10.1093/nar/gkac993

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：D418 / D427

页数：10

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