Joshua Meyers
Joshua Meyers
Hey Guys, thanks for your interest in our work and apologies for the slow reply. I am also very glad we can provide source code. I believe the same answer...
@LivC182 Regarding input sequences containing stereoisomeric information. MolBERT can handle @ and @@. This would be tokenized, encoded by the featurizer and potentially learned by our representation. However, we have...
Hi @LivC182, thanks for your interest in our work. Regarding threshold selection for similarity filtering in the GuacaMol training dataset, I can point you to reference (86) in the GuacaMol...