This Python project uses neural networks and genetic algorithms to design bioinsecticide compounds targeting specific proteins. By leveraging IC50 values from FASTA sequences, it generates and optimizes SMILES representations, enhancing the efficacy and specificity of bioinsecticides.
This code represents are data visualisation and analysis of our project : Investigation the Physarum polycephalum as a low-tech biosensor for an insecticide
Files for 3D printable WHO bioassay part system
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