3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors https://t.co/sewA2YMXB9
An invertible, invariant crystallographic representation for inverse design of solid-state materials using generative deep learning https://t.co/I7GGq0ol0Z
Prediction-inspired intelligent training for the development of c-RASAR models for organic skin sensitizers: Assessment of classification error rate from novel similarity coefficients https://t.co/2vwxbKsjK9