PreprintCited by 19RNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesRNA modifications and cancer

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AARS Online: a collaborative database on the structure, function, and evolution of the aminoacyl-tRNA synthetases

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Douglas, Jordan, Cui, Haissi, Perona, John J., Vargas-Rodriguez, Oscar, Tyynismaa, Henna, Alvarez Carreño, Claudia, Ling, Jiqiang, Ribas-de-Pouplana, Lluís, Yang, Xiang-Lei, Ibba, Michael, Becker, Hubert, Fischer, Frédéric, Sissler, Marie, Carter, Charles W., Wills, Peter R.·2024·IUBMB Life

Preprint — published as 10.1002/iub.2911

Abstract

The aminoacyl-tRNA synthetases (aaRS) are a large group of enzymes that implement the genetic code in all known biological systems. They attach amino acids to their cognate tRNAs, moonlight in various non-translational activities, and are linked to many genetic disorders. The aaRS have a subtle ontology characterized by structural and functional idiosyncrasies that vary from organism to organism, and protein to protein. Across the tree of life, the twenty-two coded amino acids are handled by sixteen evolutionary Families of Class I aaRS and twenty-one Families of Class II aaRS. We introduce AARS Online, an interactive Wikipedia-like tool curated by an international consortium of field experts. This platform systematizes existing knowledge about the aaRS by showcasing a taxonomically diverse selection of aaRS sequences and structures. Through its graphical user interface, AARS Online facilitates a seamless exploration between protein sequence and structure, providing a friendly introduction to the material for non-experts and a useful resource for experts. Curated multiple sequence alignments can be extracted for downstream analyses. Accessible at www.aars.online , AARS Online is a free resource to delve into the world of the aaRS.

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Metadata

Authors
Douglas, J., Cui, H., Perona, J. J., Vargas-Rodriguez, O., Tyynismaa, H., Alvarez Carreño, C., Ling, J., Ribas-de-Pouplana, L., Yang, X.-L., Ibba, M., Becker, H., Fischer, F., Sissler, M., Carter, C. W., & Wills, P. R.
Affiliations
  • University of Auckland (NZ)
  • University of Toronto (CA)
  • Portland State University (US)
  • University of Helsinki (FI)
  • University of Maryland, College Park (US)
  • Scripps Research Institute (US)
  • Chapman University (US)
  • Génétique Moléculaire Génomique Microbiologie (FR)
  • University of North Carolina at Chapel Hill (US)
Corresponding author
Douglas, Jordan
Venue
IUBMB Life
Publisher
openRxiv
Published
2024-05-15
Volume
76
Issue
12
Pages
1091-1105
ISSN
1521-6543 (ISSN-L)
OpenAlex
W4402375721
Cited by
19
References
1
Citations by year
2026: 6 · 2025: 11 · 2024: 2
FWCI
2.56
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • IUBMB Life (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • Chapman University Digital Commons (Chapman University) (submittedVersion, cc-by)
  • PDXScholar (Portland State University) (submittedVersion, cc-by)
  • Työväentutkimus Vuosikirja (submittedVersion)
Funders
  • Alfred P. Sloan Foundation (g-2021-16944)
  • Royal Society
  • University of Auckland
  • Academy of Finland
  • Canadian Institutes of Health Research
  • Natural Sciences and Engineering Research Council of Canada
  • National Institute of General Medical Sciences (R35GM136213, R35GM139627)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
Keywords
aminoacyl-tRNA synthetase, protein databases, genetic code, aminoacylation, moonlighting enzymes, protein evolution, multiple sequence alignment, protein structure
MeSH terms
Amino Acid Sequence, Amino Acyl-tRNA Synthetases, Animals, Humans, User-Computer Interface, Evolution, Molecular, Internet, Databases, Protein

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