BioInsectiNet is a Python-based framework that uses neural networks and genetic algorithms to design and optimize bioinsecticides targeting specific proteins. It generates novel SMILES compounds, predicts toxicity and affinity using IC50 data from FASTA sequences, and performs molecular docking for 3D interaction analysis.
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
Aug 1, 2025 - Python