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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Operating Environment - OS: Windows 10/11, Server OS from Windows Server 2008 R2 onwards. Both Japanese/English (64bit) - CPU: Intel Core i series or compatible series (recommended: 8th generation Intel Core i series or later) - HDD/SSD: At least 120GB of free space (recommended: SSD) - RAM: At least 2GB of free space (recommended: 16GB RAM) - Monitor: High resolution of 1280×720 or higher (recommended: 1920×1080 or higher)
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【Purpose】 ◆ Impurity management in ICH M7 ◆ Screening of candidate compounds ◆ Weight of evidence for various toxicities ◆ Food health impact assessment * For more details, please refer to the PDF materials or feel free to contact us. 【Examples of Achievements】 ◆ Regulatory authorities both domestic and international, including the FDA ◆ Major pharmaceutical, chemical, food, and cosmetics companies
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| Model number | overview |
|---|---|
| Mutagenicity Prediction Model | A statistical and knowledge-based prediction model based on OECD Test Guideline 471 |
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We provide advanced software sales, implementation support, and technical assistance for researchers both domestically and internationally. We support a wide range of research and development activities and deliver IT solutions that are compatible with cutting-edge technologies. By collaborating closely with many developers and related companies, we assist research activities by providing solutions optimized for our customers' needs. Based on over 30 years of rich experience and achievements, we propose solutions that combine effective software products and services, contributing to the digital transformation challenges and improvements in informatics in research settings. As a partner supporting our customers' research and development, we will achieve innovation and growth together.