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インフォコム サイエンスグループ

EstablishmentFebruary 1983
capital10000Ten thousand
number of employees726
addressTokyo/Minato-ku/Akasaka 9-7-2, Midtown East 10th Floor
phone03-6866-3860
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last updated:Jul 04, 2025
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Electronic Experiment Notebook and Data Management System Electronic Experiment Notebook and Data Management System
Toxicity safety prediction software and information research tool Toxicity safety prediction software and information research tool
Data Science Data Science
Mass spectrometry Mass spectrometry
Manufacturing and Quality Control Manufacturing and Quality Control
OMICS analysis OMICS analysis
Toxicity

Toxicity safety prediction software and information research tool

We support a wide range of tasks from toxicity prediction and evaluation of compounds to the investigation of toxicity information.

Toxicity prediction QSAR software "CASE Ultra"

Toxicity prediction from compound structural information! - Compliant with ICH M7 guidelines for food health impact assessment -

It is a type of "Quantitative Structure-Activity Relationship (QSAR)" software developed in collaboration between MultiCASE and the FDA/CDER, which predicts toxicity from the 2D structural information of compounds. CASE Ultra has two complementary types of (Q)SAR models: knowledge (rule)-based and statistical-based, and it is capable of complying with ICH M7. Additionally, it allows for the creation of new predictive models using proprietary data and the enhancement of existing predictive models. 【Features】 ■ Joint research and development with FDA/CDER ■ Alternative to cell tests and animal experiments ■ Provides analogs based on alert surrounding structural environments ■ Supports expert judgment ■ Lead across 【Predictable Endpoints】 - Mutagenicity - Genotoxicity - Carcinogenicity - Hepatotoxicity - Nephrotoxicity - Cardiotoxicity - Dermal and ocular toxicity - Reproductive and developmental toxicity - Acute toxicity - Ecotoxicity - Endocrine receptor binding and many more.

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Nitroamine Evaluation Support Software "QSAR Flex"

It is possible to evaluate the acceptable intake levels of nitroamines and predict nitrosation.

QSAR Flex enables the prediction of complex toxicity using quantitative structure-activity relationships (QSAR) and read-across methods. In particular, the following models can be utilized to support the carcinogenicity assessment of nitrosamines: - Support for AI value evaluation based on CPCA - Support for AI value estimation through read-across - Prediction of nitrosamine generation from compounds and synthetic pathways Various methods for evaluating nitrosamines can be conducted solely with QSAR Flex.

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Toxicity Information Search System "ToxPlanet"

Search all databases and literature information worldwide at once!

ToxPlanet is an integrated search platform that encompasses toxicity and hazard information for chemical substances. It features an intuitive interface and covers information on over 110 million compounds from more than 1,300 data collections, over 700 regulatory and advisory lists, and more than 10 million literature references. By obtaining comprehensive toxicity and hazard information for chemical substances from a single search key, it reduces investigation time and workload in safety research and risk assessment tasks, while enhancing the quality of the investigation.

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