Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models

Daniel R. Weilandt; Pierre Salvy; Maria Masid; Georgios Fengos; Robin Denhardt-Erikson; Zhaleh Hosseini; Vassily Hatzimanikatis

doi:10.1101/2022.01.17.476618

New Results

Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models

View ORCID ProfileDaniel R. Weilandt, View ORCID ProfilePierre Salvy, View ORCID ProfileMaria Masid, View ORCID ProfileGeorgios Fengos, View ORCID ProfileRobin Denhardt-Erikson, View ORCID ProfileZhaleh Hosseini, View ORCID ProfileVassily Hatzimanikatis

doi: https://doi.org/10.1101/2022.01.17.476618

Daniel R. Weilandt

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

2Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Daniel R. Weilandt

Pierre Salvy

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

3Cambrium GmBH, Germany

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Pierre Salvy

Maria Masid

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Maria Masid

Georgios Fengos

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

4EMBION Technologies S.A., Switzerland

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Georgios Fengos

Robin Denhardt-Erikson

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

5LYO-X GmbH, Switzerland

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Robin Denhardt-Erikson

Zhaleh Hosseini

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

6MRC Toxicology Unit, University of Cambridge, Cambridge, United-Kingdom

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Zhaleh Hosseini

Vassily Hatzimanikatis

1Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Vassily Hatzimanikatis
For correspondence: vassily.hatzimanikatis@epfl.ch

Abstract
Full Text
Info/History
Metrics
Supplementary material
Data/Code
Preview PDF

https://github.com/EPFL-LCSB/SKiMpy

View the discussion thread.

PreviousNext

Posted January 20, 2022.

Download PDF

Supplementary Material

Data/Code

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.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models

Message Subject (Your Name) has forwarded a page to you from bioRxiv

Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models

Daniel R. Weilandt, Pierre Salvy, Maria Masid, Georgios Fengos, Robin Denhardt-Erikson, Zhaleh Hosseini, Vassily Hatzimanikatis

bioRxiv 2022.01.17.476618; doi: https://doi.org/10.1101/2022.01.17.476618

Share This Article:

Citation Tools

Symbolic Kinetic Models in Python (SKiMpy): Intuitive modeling of large-scale biological kinetic models

Daniel R. Weilandt, Pierre Salvy, Maria Masid, Georgios Fengos, Robin Denhardt-Erikson, Zhaleh Hosseini, Vassily Hatzimanikatis

bioRxiv 2022.01.17.476618; doi: https://doi.org/10.1101/2022.01.17.476618

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

Bioinformatics

Subject Areas

All Articles

Animal Behavior and Cognition (4370)
Biochemistry (9551)
Bioengineering (7071)
Bioinformatics (24779)
Biophysics (12569)
Cancer Biology (9925)
Cell Biology (14302)
Clinical Trials (138)
Developmental Biology (7932)
Ecology (12081)
Epidemiology (2067)
Evolutionary Biology (15959)
Genetics (10905)
Genomics (14709)
Immunology (9848)
Microbiology (23587)
Molecular Biology (9457)
Neuroscience (50711)
Paleontology (369)
Pathology (1535)
Pharmacology and Toxicology (2674)
Physiology (4001)
Plant Biology (8644)
Scientific Communication and Education (1505)
Synthetic Biology (2388)
Systems Biology (6415)
Zoology (1345)