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.
bioinformatics ai deep-learning toxicology cheminformatics genetic-algorithm machine-learning-algorithms computational-biology python3 pytorch neural-networks drug-discovery fasta smiles molecular-design bioinformatics-tool insecticide bioinsecticides
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Updated
May 22, 2025 - Python