Data Analysis
# Predict drug efficacy, toxicity, and mechanism of action from big data.
We construct datasets from assay data such as MEA, incorporating unique analysis parameters tailored to the evaluation samples and criteria. By selecting optimal parameters and conducting multivariate analysis, we predict the efficacy, toxicity, and mechanisms of action of compounds. For evaluation samples like brain organoids and astrocytes, we can construct analysis parameters suited to the specific frequency characteristics of these samples.
Reference Papers
Y. Ishibashi, N Nagafuku, K Kinoshita, A Okamura, T shirakawa, I Suzuki*, Verification in seizure liability of compounds based on comparison between in vitro functional activity in cultured neurons and in vivo cerebrospinal fluid concentration for approaching in vitro to in vivo extrapolation, Toxicology and Applied pharmacology. 476;116675, 2023 DOI
Y. Ishibashi, N. Nagafuku, Y. Kanda, I. Suzuki1 * Evaluation of neurotoxicity for pesticide-related compounds in human iPS cell-derived neurons 2 using microelectrode array. Toxicology in vitro. 93;105668, 2023 DOI
Y Ishibashi, A Odawara, K Kinoshita, A Okamura, T Shirakawa, I Suzuki*. Principal Component Analysis to Distinguish Seizure Liability of Drugs in Human iPS Cell-Derived Neurons. Toxicological Sciences. 2021 184(2):265–275 DOI
R Roberts, S Authier, D Mellon, M Morton, I Suzuki, RB Tjalkens, JP Valentin, JB Pierson. Can We Panelize Seizure?. Toxicological Sciences. 2021, 179(1), 3-13 DOI
intellectual property
- Method, Computer System, and Program for Prediction of Target Characteristics, Patent No. 6558786, PCT Filed
(Use of the above intellectual property is subject to a license agreement from Tohoku Institute of Technology)