Then consider an embedding of the chemical space into the unit sphere of dimension n, (typically, n ~ 300). For example, Mol2Vec or Smiles2Vec (PNNL). Such embedding is analogous to Word2Vec in Natural Language Processing. Then we can identify a molecule in the chemical space with its image in the sphere by the embedding, and we can compute the entropy of A with the formula: