Bioinformatics › AI Ligand-Protein Docking Optimization Research
Machine Learning Model Development for Binding Affinity Prediction
Interns will develop and train machine learning models to predict protein-ligand binding affinities using datasets like PDBbind and KIBA. They will work with neural networks, random forests, and graph neural networks to optimize prediction accuracy and validate models against experimental data.
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