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Automated design using multiobjective optimization (MOO) through PyMOO for genelet network concentrations and topology

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MishaRubanov/Automated-Design-of-Genelet-Regulatory-Networks

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Automated Design of Genelet Regulatory Networks

Automated design using multiobjective optimization (MOO) through PyMOO for genelet network concentrations and topology

Code descriptions:

  • GeneralGeneletModel: a modified version of the general genelet model from Schaffer et al: https://assets.researchsquare.com/files/rs-247740/v1_covered.pdf?c=1631857099
  • Autoamplifiermodel: a set of functions for running multi-objective optimization of the general genelet model to discover, in this case, amplifiers with high gain and minimal leak
  • Cascading_amplifier: an example script that runs an optimizer to discover a set of concentrations that leads to a genelet network with a 'good' amplifier

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Automated design using multiobjective optimization (MOO) through PyMOO for genelet network concentrations and topology

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