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QSAR Flex Model Catalog

This provides a high-level overview of all commercial models available for licensing.Use this catalog to:

  • Explore available endpoints and their associated models.

  • Decide which endpoints to include in your license configuration.

  • Quickly confirm whether a model is part of your current license.


How to Use This Catalog

  • Scroll through the catalog below or select an endpoint of interest through the Quick Navigation section

Quick Navigation

N-Nitrosamine Evaluation Tools

Evaluate potential carcinogenicity potency.

CPCA Prediction

Carcinogenicity Potency Categorization Approach (CPCA) for

N-Nitrosamines

Surrogates= 209 NDSRIs with AI= 540

* Surrogate Search

Analog-based read across using nitrosamine local

environment similarity measure

194

N-Nitrosation Tool

Nitrosation assessment for both individual compound and

synthetic route

1,238

​View Full Data Sheet ↓

These modules are designed to evaluate the potential carcinogenic potency of N-nitrosamine

compounds that have not undergone adequate animal carcinogenicity testing. The primary

module for this purpose is the CPCA Prediction module, which is designed for assigning N-

nitrosamine impurities (including NDSRIs) to a predicted carcinogenic potency category and a

corresponding acceptable intake (AI) limit. This module also performs sophisticated surrogate

(with animal carcinogenicity data) search and finding similar NDSRIs for which regulatory

agencies have published acceptable limits (AIs).

The Surrogate Search module is the legacy module to search for N-Nitrosamine surrogates with

available animal carcinogenicity data. This module was introduced few years before the

introduction of the CPCA method. It is accompanied by additional modules such as LogP, water

solubility, Ames mutagenicity, and the Gold Carcinogenicity Potency Database (CPDB). * Only available as a model within the QSAR Flex local installation. While the Surrogate Search model is currently unavailable within the QSAR Flex Web App we would encourage customers to make use of the CPCA surrogate feature for now.

Ecotoxicity Models

Evaluate various characteristics of adverse impact on the natural environment.

Fathead Minnow 96h LC50

Acute toxicity to Pimephales promelas (96 hrs. of exposure)

920

Daphnia 48h LC50

Acute toxicity to Daphnia magna (48 hrs. of exposure)

2124

Tetrahymena 48h GC50

Acute toxicity to Tetrahymena pyriformis (48 hrs. of exposure)

1898

Algae 72h EC50

Acute toxicity to various algae (72 hrs. of exposure)

1377

Bio Concentration Factor

Ratio of concentration of contaminant in organism to surrounding

water

563

Ready Biodegradability

Aerobic biodegradation potential of a chemical substance within

28 days, as per OECD Test 301

1443

Soil Adsorption

The organic carbon-sorption coefficient (Koc)

651

​View Full Data Sheet ↓

Ecotoxicity refers to the adverse impact of chemicals on the natural environment, including plants, animals, and microorganisms. It involves effects on population growth, reproduction, and overall health of organisms, as well as the consequences on ecosystems and the benefits they provide. The ecotoxicity of a chemical can be influenced by its physical and chemical characteristics, its ability to persist in the environment and its capacity to bioaccumulate.

Physicochemical Properties

Evaluate critical components of a chemicals Physchem characteristics

LogP

Octanol-water partition coefficient

12645

Water Solubility

Water Solubility at 25°C

3800

Vapor Pressure

Vapor Pressure at 25°C

1829

Boiling Point

Boiling Points of organic compounds

4890

​View Full Data Sheet ↓

Intrinsic physical and chemical characteristics, such as appearance, boiling point, density, volatility, water solubility, and flammability, are known as physicochemical properties of a substance.

Incorporating information about a compound's physicochemical properties into a QSAR model can enhance the model's ability in predicting the compound's toxicity. This is because these properties influence the compound's interactions with other molecules and its ability to enter and exit cells, which ultimately impacts its toxicity. As a result, these properties are commonly used as descriptors in modeling ecotoxicity, ADME properties, and other toxic properties.

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