Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Architect: a tool for producing high-quality metabolic models through improved enzyme annotation

Nirvana Nursimulu, Alan M. Moses, John Parkinson
doi: https://doi.org/10.1101/2021.10.12.464133
Nirvana Nursimulu
1Department of Computer Science, University of Toronto, Toronto, ON, Canada
2Program in Molecular Medicine, The Hospital for Sick Children, 21-9709 PGCRL, 686 Bay Street, Toronto, ON, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alan M. Moses
1Department of Computer Science, University of Toronto, Toronto, ON, Canada
3Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John Parkinson
2Program in Molecular Medicine, The Hospital for Sick Children, 21-9709 PGCRL, 686 Bay Street, Toronto, ON, Canada
4Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
5Department of Biochemistry, University of Toronto, Toronto, ON, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: john.parkinson@utoronto.ca
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2021.10.12.464133
History 
  • October 13, 2021.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Nirvana Nursimulu1,2,
  2. Alan M. Moses1,3 and
  3. John Parkinson2,4,5,*
  1. 1Department of Computer Science, University of Toronto, Toronto, ON, Canada
  2. 2Program in Molecular Medicine, The Hospital for Sick Children, 21-9709 PGCRL, 686 Bay Street, Toronto, ON, Canada
  3. 3Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada
  4. 4Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
  5. 5Department of Biochemistry, University of Toronto, Toronto, ON, Canada
  1. ↵*Corresponding author; email: john.parkinson{at}utoronto.ca
Back to top
PreviousNext
Posted October 13, 2021.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Architect: a tool for producing high-quality metabolic models through improved enzyme annotation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Architect: a tool for producing high-quality metabolic models through improved enzyme annotation
Nirvana Nursimulu, Alan M. Moses, John Parkinson
bioRxiv 2021.10.12.464133; doi: https://doi.org/10.1101/2021.10.12.464133
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Architect: a tool for producing high-quality metabolic models through improved enzyme annotation
Nirvana Nursimulu, Alan M. Moses, John Parkinson
bioRxiv 2021.10.12.464133; doi: https://doi.org/10.1101/2021.10.12.464133

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8766)
  • Bioengineering (6480)
  • Bioinformatics (23346)
  • Biophysics (11751)
  • Cancer Biology (9149)
  • Cell Biology (13255)
  • Clinical Trials (138)
  • Developmental Biology (7417)
  • Ecology (11370)
  • Epidemiology (2066)
  • Evolutionary Biology (15088)
  • Genetics (10402)
  • Genomics (14011)
  • Immunology (9122)
  • Microbiology (22050)
  • Molecular Biology (8780)
  • Neuroscience (47373)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3704)
  • Plant Biology (8050)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2209)
  • Systems Biology (6016)
  • Zoology (1250)