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This Python project leverages neural networks and genetic algorithms to design bioinsecticide compounds with high affinity for a specific target. The design is based on the IC50 value associated with the FASTA target sequence and the generated SMILE compounds using Neural Networks and Genetic Algorithms.
This code represents are data visualisation and analysis of our project : Investigation the Physarum polycephalum as a low-tech biosensor for an insecticide