Text Based De Novo Molecule Generation

De novo molecular generation based on text refers to the use of natural language processing (NLP) techniques and chemical information to generate entirely new molecular structures. This method typically encodes molecular structures as text strings similar to chemical formulas or SMILES notation, and processes these texts using NLP models such as RNNs or Transformers to generate novel molecular structures with specific properties. This technology has significant application value in drug discovery, as it can accelerate the identification of new drug candidates.