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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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basic information

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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Applications/Examples of results

【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

CASE Ultra Catalog Information

PRODUCT

CASE Ultra Utilization Examples

TECHNICAL

Introduction to Toxicity Information Research and Safety Prediction Tools

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