  Ordinary differential equation models facilitate the understanding of
cellular signal transduction and other biological processes. However, for large
and comprehensive models, the computational cost of simulating or calibrating
can be limiting. AMICI is a modular toolbox implemented in C++/Python/MATLAB
that provides efficient simulation and sensitivity analysis routines tailored
for scalable, gradient-based parameter estimation and uncertainty
quantification.
  AMICI is published under the permissive BSD-3-Clause license with source code
publicly available on https://github.com/AMICI-dev/AMICI. Citeable releases are
archived on Zenodo.
