Professor Makoto Kadowaki, Associate Professor Masato Umesaki, Assistant Professor Shusaku Hayashi and others at the Institute of Japanese and Chinese Medicine, Toyama University, collaborate with Professor Yoshihiro Yamanishi of the Graduate School of Information Engineering, Kyushu Institute of Technology to predict the unknown effects of Chinese herbs. Developed a database with an algorithm.
According to the University of Toyama, the research group collects information on herbal medicines and herbal medicines that make up herbal medicines, their constituent compounds, and target proteins, as well as analyzing the molecular functions of proteins, and the influence of herbal medicines. I guessed the molecular function to exert.
In addition, we have built a function on the database that clearly displays how the main components of Chinese herbs and human proteins bind.By combining information on the interaction of millions of compounds and proteins with information on searching for similarities in chemical structure, machine learning has the ability to search for proteins targeted by the constituent compounds of Chinese herbs.
As a result, this database has become able to predict new applicable diseases of Chinese herbs and visualize the analysis results based on the target protein information.
Using this database, we analyzed 42 kinds of Chinese herbal medicines and 54 kinds of crude drugs, and found that we were able to identify diseases with unknown actions and effects by searching for proteins that are targets of component compounds.
Paper information:[Scientific Reports] KampoDB, database of predicted targets and functional annotations of natural medicines
