Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks
Polina Lakrisenko, Paul L. Stapor, Stephan Grein, Łukasz Paszkowski, Dilan Pathirana, Fabian Fröhlich, Glenn Terje Lines, Daniel Weindl, Jan Hasenauer
The paper introduces a new adjoint method for computing gradients in ODE models of biochemical reaction networks using steady-state data, achieving up to 4.4x speedup in simulation time for large-scale models.
PLoS Computational Biology · Jan 3, 2023Peer-reviewedSystems Biology