We integrate chemical, biological, and clinical data to transform complex information into actionable knowledge, driving the design of novel drug candidates targeting multiple biological pathways.

We employ computational methods to decode the bioactivity of extracts from natural sources. In parallel, we integrate spectrometric and spectroscopic techniques to characterize novel natural products. 

We explore the chemical space of bioactive molecules targeting specific biological objectives. In addition, we are continuously developing new chemical databases to expand the boundaries of known chemical space. 

We develop artificial intelligence–driven methods combined with conformal prediction to deliver highly reliable toxicity predictions in acute and chronic aquatic toxicity models.