Our research integrates computational chemistry and systems biology approaches to solve important problems in biological science. We aim to aid in the development of new molecules and the identification of cell networks with potential applications in pharmacology and agriculture. Thus, we apply techniques ranging from chemioinformatics and structural bioinformatics to the analysis of high-throughput experimental data such as transcriptomics and proteomics. We strongly believe that the integration of these different approaches makes them much more powerful and that will help us have maximum impact on the future of the biological research. We thus use computational approaches to identify and design novel compounds against human and plant diseases, and develop innovative approaches for systems biology and translational research.