Machine Learning for Drug-Receptor Binding Prediction

Pharmacology › AI Neuropharmacology Research

Machine Learning for Drug-Receptor Binding Prediction

Interns will develop and train machine learning models to predict how neuropharmaceutical compounds bind to brain receptors using structural data and molecular descriptors. This involves working with datasets like PubChem and ChEMBL, implementing algorithms such as neural networks or random forests, and validating predictions against experimental binding assays.

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