The provided predictions comprise a large number (7572) of hypotheses for fast focused testing. By sharing them openly in this work we expect to accelerate the full identification of the target space of gut microbial metabolites. In order to have an idea of the experimental validity of these predictions, we took the advantage of the fact that SEA predictions are based on a ChEMBL release, namely 27, previous to the release we have used to identify published interactions (ChEMBL 33); in addition, for the published interactions we have also included BindingDB data, not present in ChEMBL and therefore not used by SEA to base its predictions. The same happens with the literature data. Therefore, we sought for SEA predicted interactions that were also present in our dataset of published interactions. As a matter of fact, a total of 613 interactions were shared between the published and predicted datasets. However, it is possible that some predicted interactions are using data already present in the SEA "training" dataset (and therefore, also present in ChEMBL27). These correspond to the entries with maximum Tanimoto coefficients of 1, meaning that the predicted interaction is already present in the SEA "training" set (a prediction of an interaction is being made of an based on a set of published interactions, of which one is with exactly the predicted compound). Therefore, bona fide predictions would correspond to those with maximum Tanimoto coefficient < 1, meaning that the prediction was based on non-identical compounds interacting with the target. In this way, we found a total of 127 true predictions (maximum Tanimoto coefficient < 1) that were later confirmed in our ChEMBL33/BindingDB/Literature set of published interactions. Of them, 115 were interactions with human targets, and 12 with bacterial proteins.