Related Experiment Video
Updated: Aug 19, 2025

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
Integrative Approaches of Bioassay and Computational Analysis for Discovering Potential Bioactive Compounds and
Hideko Sone1, Xian-Yang Qin2, Kohsuke Hayamizu3
1Environmental Health and Prevention Research Unit, Yokohama University of Pharmacy.
Abstract:
Changes in eating habits are brought about by drastic changes in lifestyle and environment, and, it has been pointed out, are strongly involved in the increase in neurological diseases and onset of cancer in younger adult ages. There is a wide variety of chemical substances in food, and there is a need to analyze the effects of complex exposures on complex mechanisms of action and to develop methods for evaluating and predicting them. The power of molecular nutrition needs to create an integrated approach to human nutrition in line with the grand social challenges of diet-related illnesses. The current article aims to explore some of these areas where integration is appropriate. Therefore, in this symposium, we will introduce the contents of four performers who are conducting cutting-edge research. 1) Chemoprevention by vitamin A and its derivatives, 2) Toxicity prediction of natural compounds from a developing database of bioactive gradients from Kampo medicine, 3) Toxicity prediction of chemicals using pluripotent stem cells. 4) Detection of bioactive compounds in "Aji" or "Umami" in food. By detecting and predicting the biological activity and toxicity of chemical substances such as nutrients in foods, it will be possible to provide better molecular information on dietary components. In addition, we will introduce next-generation health and prevention methods.
More Related Videos
09:01A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
Published on: March 14, 2019
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Related Concept Videos
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
Drug Discovery: Overview
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Mutagenicity and Carcinogenicity