Metadata-Version: 2.1
Name: apricopt-synthesis
Version: 0.0.1a1.dev1
Summary: A python library
Home-page: http://mclab.di.uniroma1.it
Author: Marco Esposito
Author-email: esposito@di.uniroma1.it
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
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# 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](https://petab.readthedocs.io/en/latest/) for describing the problem and providing all the needed information.

APriCOPT natively supports [NOMAD](https://www.gerad.ca/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.


