Transfer Learning and Domain Adaptation in Drug Docking Models

Structural Bioinformatics › Machine Learning Drug Docking Research

Transfer Learning and Domain Adaptation in Drug Docking Models

Interns will explore transfer learning techniques to adapt pre-trained models across different protein families, ligand classes, and docking software outputs. Work includes fine-tuning models on limited experimental data and addressing domain shift challenges in heterogeneous structural datasets.

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