[Research Area]

1. Data integration for relating molecular-level events to higher-order biological systems.
2. Understanding and predicting molecular interactions involving proteins, modelling biological responses.
3. Transcriptome analysis of early human embryos.
4. In silico prediction of pharmacokinetic parameters.

　We aim to increase our understanding of biological systems and diseases by combining computer science and computational chemistry approaches, with applications to drug discovery and other research areas. Artificial Intelligence (AI) is expected to play major roles in many domains. Recognizing that the availability of a large amount of data in a computer-friendly format is key to the successful development of AI models, our research is focused on integrating a wide array of data, including genes, proteins, chemical compounds and diseases. We also develop methods for predicting protein structure, function and interaction, and apply them to specific biological problems.