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

A structure-based deep learning framework for protein engineering

Raghav Shroff, Austin W. Cole, Barrett R. Morrow, Daniel J. Diaz, Isaac Donnell, Jimmy Gollihar, Andrew D. Ellington, Ross Thyer
doi: https://doi.org/10.1101/833905
Raghav Shroff
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Austin W. Cole
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barrett R. Morrow
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel J. Diaz
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Isaac Donnell
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jimmy Gollihar
2US Army Research Laboratories – South, 2506 Speedway, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew D. Ellington
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ross Thyer
1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: ross.thyer@utexas.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/833905
History 
  • November 8, 2019.
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-NC-ND 4.0 International license.

Author Information

  1. Raghav Shroff*,1,
  2. Austin W. Cole*,1,
  3. Barrett R. Morrow1,
  4. Daniel J. Diaz1,
  5. Isaac Donnell1,
  6. Jimmy Gollihar2,
  7. Andrew D. Ellington1 and
  8. Ross Thyer1,*
  1. 1Center for Systems and Synthetic Biology, The Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, 78712
  2. 2US Army Research Laboratories – South, 2506 Speedway, Austin, TX, 78712
  1. ↵#Corresponding author; email: ross.thyer{at}utexas.edu
  1. ↵* These authors contributed equally

Back to top
PreviousNext
Posted November 08, 2019.
Download PDF
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.
A structure-based deep learning framework for protein engineering
(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
A structure-based deep learning framework for protein engineering
Raghav Shroff, Austin W. Cole, Barrett R. Morrow, Daniel J. Diaz, Isaac Donnell, Jimmy Gollihar, Andrew D. Ellington, Ross Thyer
bioRxiv 833905; doi: https://doi.org/10.1101/833905
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A structure-based deep learning framework for protein engineering
Raghav Shroff, Austin W. Cole, Barrett R. Morrow, Daniel J. Diaz, Isaac Donnell, Jimmy Gollihar, Andrew D. Ellington, Ross Thyer
bioRxiv 833905; doi: https://doi.org/10.1101/833905

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

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3505)
  • Biochemistry (7346)
  • Bioengineering (5323)
  • Bioinformatics (20260)
  • Biophysics (10016)
  • Cancer Biology (7743)
  • Cell Biology (11300)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9951)
  • Epidemiology (2065)
  • Evolutionary Biology (13321)
  • Genetics (9361)
  • Genomics (12583)
  • Immunology (7701)
  • Microbiology (19021)
  • Molecular Biology (7441)
  • Neuroscience (41036)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2137)
  • Physiology (3160)
  • Plant Biology (6860)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1896)
  • Systems Biology (5311)
  • Zoology (1089)