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Published June 11, 2025 | Version v0.33.0
Software Open

AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models

Description

Note that this release requires Python >= 3.11.

Fixes

  • Fixed an issue in SBML AlgebraicRule processing leading to import failure if a species occurred in multiple AlgebraicRules

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2744

  • Fixed a potential segfault when running forward sensitivity analysis for models without state variables

    by @FFroehlich in https://github.com/AMICI-dev/AMICI/pull/2749

  • Fixed a dimension bug for presimulation parameters in ExpDataView

    by @FFroehlich in https://github.com/AMICI-dev/AMICI/pull/2746

  • Fixed incorrect initialization for initial assignments with explicit time dependence

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2779

Features

  • AMICI now supports SBML events with use_values_from_trigger_time=true

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2741

  • AMICI now supports SBML events with constant priorities

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2730

Other changes

  • doc: Added a caveats section listing some known issues and potentially unexpected behavior in AMICI

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2735

  • Added warnings for presimulation and steady state simulation with events. So far, events were not fully supported in these modes. This is subject to change.

    by @dweindl in https://github.com/AMICI-dev/AMICI/pull/2755

Full Changelog: https://github.com/AMICI-dev/AMICI/compare/v0.32.0...v0.33.0

Notes

If you use this software, please cite both the article from preferred-citation and the software itself.

Files

AMICI-dev/AMICI-v0.33.0.zip

Files (7.2 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/AMICI-dev/AMICI/tree/v0.33.0 (URL)

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