English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Paper

ODEbase: A Repository of ODE Systems for Systems Biology

MPS-Authors
/persons/resource/persons73108

Sturm,  Thomas       
Automation of Logic, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

arXiv:2201.08980.pdf
(Preprint), 374KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Lüders, C., Sturm, T., & Radulescu, O. (2022). ODEbase: A Repository of ODE Systems for Systems Biology. Retrieved from https://arxiv.org/abs/2201.08980.


Cite as: https://hdl.handle.net/21.11116/0000-000B-654F-C
Abstract
Recently, symbolic computation and computer algebra systems have been
successfully applied in systems biology, especially in chemical reaction
network theory. One advantage of symbolic computation is its potential for
qualitative answers to biological questions. Qualitative methods analyze
dynamical input systems as formal objects, in contrast to investigating only
part of the state space, as is the case with numerical simulation. However,
symbolic computation tools and libraries have a different set of requirements
for their input data than their numerical counterparts. A common format used in
mathematical modeling of biological processes is SBML. We illustrate that the
use of SBML data in symbolic computation requires significant pre-processing,
incorporating external biological and mathematical expertise. ODEbase provides
high quality symbolic computation input data derived from established existing
biomodels, covering in particular the BioModels database.