Customized Amazon Nova models improve molecular-property prediction in drug discovery
Amazon Science 3 months ago
Amazon and Nimbus Therapeutics fine-tuned Amazon Nova LLMs to predict molecular properties in drug discovery, matching the accuracy of specialized graph neural networks. Fine-tuned Nova 2 Lite achieved 5% lower average error than baseline GNNs while matching or exceeding them on 7 of 11 molecular properties tested. The approach reduces operational complexity by replacing multiple separately-trained models with a single model that chemists can query conversationally for predictions and reasoning.
