AI and the World's Hard Problems · Chemistry & materials · Nature (computational biology) · 2026-10-16
A machine learning-based platform for predicting the potential energy of small molecules
Accurate estimates of small-molecule potential energy after energy minimization matter for designing drug and gene-delivery molecules. The authors built deep learning models, including CNN-BiLSTM architectures with and without multihead attention, and trained them on a dataset of small-molecule structures using atom-wise sequential representations. The models reportedly outperform traditional descriptor-based machine learning methods, and the attention mechanism is said to improve generalization.