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

ssbio: A Python Framework for Structural Systems Biology

View ORCID ProfileNathan Mih, View ORCID ProfileElizabeth Brunk, Ke Chen, Edward Catoiu, View ORCID ProfileAnand Sastry, Erol Kavvas, View ORCID ProfileJonathan M. Monk, Zhen Zhang, View ORCID ProfileBernhard O. Palsson
doi: https://doi.org/10.1101/165506
Nathan Mih
aBioinformatics and Systems Biology Graduate Program, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nathan Mih
Elizabeth Brunk
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Elizabeth Brunk
Ke Chen
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Edward Catoiu
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anand Sastry
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anand Sastry
Erol Kavvas
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jonathan M. Monk
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jonathan M. Monk
Zhen Zhang
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bernhard O. Palsson
bDepartment of Bioengineering, University of California, San Diego, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bernhard O. Palsson
  • For correspondence: palsson@ucsd.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Summary Working with protein structures at the genome-scale has been challenging in a variety of ways. Here, we present ssbio, a Python package which provides a framework to easily work with structural information in the context of genome-scale network reconstructions. The ssbio package provides an automated pipeline to construct high quality genome-scale models with protein structures (GEM-PROs), intuitively linking 3D structural data with established systems workflows.

Availability and Implementation ssbio is implemented in Python and available to download under the MIT license at http://github.com/SBRG/ssbio. Documentation and Jupyter notebook tutorials are available at http://ssbio.readthedocs.io/en/latest/.

Contact nmih{at}ucsd.edu

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.
Back to top
PreviousNext
Posted July 18, 2017.
Download PDF

Supplementary Material

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.
ssbio: A Python Framework for Structural Systems Biology
(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
ssbio: A Python Framework for Structural Systems Biology
Nathan Mih, Elizabeth Brunk, Ke Chen, Edward Catoiu, Anand Sastry, Erol Kavvas, Jonathan M. Monk, Zhen Zhang, Bernhard O. Palsson
bioRxiv 165506; doi: https://doi.org/10.1101/165506
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
ssbio: A Python Framework for Structural Systems Biology
Nathan Mih, Elizabeth Brunk, Ke Chen, Edward Catoiu, Anand Sastry, Erol Kavvas, Jonathan M. Monk, Zhen Zhang, Bernhard O. Palsson
bioRxiv 165506; doi: https://doi.org/10.1101/165506

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 (4232)
  • Biochemistry (9128)
  • Bioengineering (6774)
  • Bioinformatics (23988)
  • Biophysics (12117)
  • Cancer Biology (9522)
  • Cell Biology (13772)
  • Clinical Trials (138)
  • Developmental Biology (7627)
  • Ecology (11686)
  • Epidemiology (2066)
  • Evolutionary Biology (15504)
  • Genetics (10638)
  • Genomics (14322)
  • Immunology (9477)
  • Microbiology (22832)
  • Molecular Biology (9089)
  • Neuroscience (48952)
  • Paleontology (355)
  • Pathology (1480)
  • Pharmacology and Toxicology (2568)
  • Physiology (3844)
  • Plant Biology (8327)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6186)
  • Zoology (1300)