In a minireview by , he focused on how the advancements in NLP algorithms can be utilized in generating drugs with high-level properties; the better the semantic generation of bonded elements the better compounds we get, this technique is much more successful and easier than the previously utilized complex molecular graphs. In his study, many molecular representation entities were reviewed; the Simplified Molecular Input Line Entry Systems (SMILES) overcame Self-referencing embedded strings (SELFIES) and others in the ability of filtering out invalid molecules. However, each of the reviewed systems (SMILES, SELFIES, or DeepSMILES) can have a superiority depending on the application required, e.g., DeepSMILES predicts binding affinity.