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.
See here for the National Institutes of Biomedical Innovation, Health and Nutrition group.
With Chen Yi-An and other colleagues from NIBN, we have published a paper on Scientific Reports.
— mizuguchilab_en (@mizuguchilab_en) June 5, 2025
"NIBN Japan Microbiome Database, a database for exploring the correlations between human microbiome and health" https://t.co/x3uL9wqerH
[Press Release] What’s Your Body Really Worth? New AI Model Reveals Your True Biological Age from 5 Drops of Blood https://t.co/d3Pv6RJknh
— mizuguchilab_en (@mizuguchilab_en) March 21, 2025
Our newest paper by Kenji Mizuguchi, Chioko Nagao & colleagues is now published online in Molecular Therapy: Nucleic Acid.
— mizuguchilab_en (@mizuguchilab_en) July 30, 2024
"Construction of a Tm-Value Prediction Model and Molecular Dynamics Study of AmNA-Containing Gapmer Antisense Oligonucleotide" https://t.co/RQDOdHrFAp
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