Learning peptide grammar was also emphasized by , who used a long short-term memory (LSTM) language model trained on minimum inhibitory concentration (MIC) data, instead of using a binary description of activity. Two out of the top ten resulting peptides showed high activity against multidrug-resistant (MDR) Gram-negative strains and reasonable toxicity, despite the absence of toxicity-specific training data. This suggests inherent selectivity encoded in natural AMP sequences.