ConPLex , a pre-trained Protein Language Model (PLex) with protein-anchored contrastive co-embeddings (Con). Based on genomic data (sequences) ConPLex generates predictions on Drug-Target Interactions (DTIs); it finds relations from the distances of learned entities. Therefore, ConPLex is able to work on huge genomic and compounds libraries. ConPLex embeddings are interpretable, with that, human cell-surface proteins functions' can be characterized, enabling high-throughput in-silico screening, and it was able to detect compounds with sub-nanomolar activity. One of the main advantages of ConPLex, is that it overcame the DTIs decoy problem; this is owed to its co-embedding architecture. Moreover, with a simple modification on the last activation function, ConPLex can serve as a binding affinity predictor model.