Mol2vec vectors were previously concatenated with ProtVec vectors to construct so-called PCM2vec fingerprints, conveying information on a small molecule compound and its protein target simultaneously and thereby improving predictive performance . Thus, besides using m2v fingerprints alone, we followed a similar concept by concatenating m2v vectors of drugs with 600-dimensional, polymer-specific polyBERT fingerprints that are based on a language model pre-trained on 100 million PSMILES strings and were previously used for polymer property predictions .