A python library
Project description
APriCOPT#
APriCOPT (Automatic Personalized Combination Therapy Optimizer) is a python library and standalone program for the synthesis of personalized therapies on biological models given as black-boxes, with a focus on SBML models.
It requires little to no programming experience, as it uses PEtab for describing the problem and providing all the needed information.
APriCOPT natively supports NOMAD for black-box optimization, but any solver can be used by implementing a simple API.
SBML models
If the biological model is described in the SBML format, APriCOPT provides immediate ways to setup the therapy synthesis.
Currently, we support the following simulators of SBML models:
- COPASI. A state-of-the-art simulator for models of biological processes. We support any level and version of SBML.
Info
WIP
- Version 0.0.1a1.dev1
Who do I talk to?
- Marco Esposito (author) - esposito@di.uniroma1.it
- Leonardo Picchiami (author) - picchiami.1643888@studenti.uniroma1.it
Copyright (C) 2020-2021 Marco Esposito, Leonardo Picchiami.
Distributed under GNU General Public License v3.
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