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In silico (QSAR) consulting and training solutions that fast-track innovation and compliance

Leveraging two decades of CEHTRA’s regulatory expertise, we deliver cutting-edge in silico toxicology and QSAR training solutions to support Human Health, Ecotoxicology, and Environmental Risk Assessment.

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In silico predictions for Animal-Free Safety Assessment of chemicals

Animal-Free Safety Assessment

We deliver expert-driven predictions using advanced in silico New Approach Methodologies (NAMs), notably QSAR models & Read-across to help you meet global regulatory requirements efficiently and ethically.

QSAR predictions for Pharmaceutical impurities
QSAR predictions for chemical substances and their mixtures

Chemicals

REACH-compliant in silico predictions, supported by comprehensive documentation (QMRF, QPRF, and QAF)

QSAR predictions for Cosmetic ingredients and their mixtures

Cosmetics

In silico risk assessment for cosmetics (CPSR), to support safe ingredient selection and regulatory compliance

Pharmaceuticals

Mutagenicity assessment of impurities for ICH M7 compliance, using expert rule-based and statistical QSAR models

QSAR predictions for biocides

Biocides

Read-across (Bridging) and in silico predictions to address data gaps for regulatory submissions.

Plant Protection

Toxicological profiling of active substances and co-formulants in crop protection products and agrochemicals

Endocrine Disruption

In silico evaluation targeting EATS modalities (Estrogen, Androgen, Thyroid, and Steroidogenic receptors)

In silico and QSAR predictions for active ingredients and formulations in plant protection products
QSAR predictions for endocrine disruption (EATS)
QSAR predictions for food and feed (including novel food and proteins)

Food products

In silico predictions to support the risk assessment of food and feed substances, including novel proteins and peptides

Packaging

In silico toxicology assessment (including CMR endpoints) of cosmetic packaging and food contact materials

Medical Devices

In silico toxicological assessment of medical devices based on structural alerts and QSAR modeling

QSAR predictions for cosmetic packaging and food contact materials
QSAR predictions for medical devices

In silico NAMs:
Smarter Science, Faster Results

Structural Alerts to predict the toxic fragments in a chemical structure
QSAR predictions to refine, reduce and replace animal testing
Read-Across to fill the data gaps in a regulatory dossier

Structural Alerts (SAR)

 

Expert rule-based models used to identify structural fragments that may contribute to the toxicity potential of a chemical.

Examples: Derek Nexus, Toxtree

QSAR

 

Machine learning-based statistical models trained to predict a wide range of qualitative and quantitative toxicological endpoints.

Examples: Leadscope, VEGA

Read Across

 

Data gap filling by identifying structurally and mechanistically similar chemical analogues with existing experimental data.

Example: OECD QSAR Toolbox

Unlock the full potential of in silico models

In silico and QSAR solutions by Simply Predict are fast
In silico and QSAR solutions by Simply Predict are cost-effective
In silico and QSAR predictions for Animal-Free Safety Assessments of chemicals, cosmetics, pharmaceutical impurities
In silico and QSAR predictions for Animal-Free Safety Assessments
In silico and QSAR predictions to meet regulatory compliance (QMRF, QPRF and QAF reports)

Your shortcut to smarter submissions

A smart way to save time, cut costs, and streamline resources for your R&D and regulatory needs.

​Driving the Future of Non-Animal Testing

Increasingly used in the context of New Approach Methodologies (NAMs), Next Generation Risk Assessment (NGRA), and the 3Rs principles (Replacement, Reduction, and Refinement of animal testing).

Compliant by Design

Recognized by regulatory authorities, including for dossier submissions to ECHA, EFSA, as well as in the context of ICH M7 for pharmaceuticals and cosmetic regulations.

A team of trusted in silico experts

Faizan Sahigara is an in silico and QSAR expert

Faizan SAHIGARA

QSAR expert & Business Developer

Faizan Sahigara LinkedIn profile
Khadija ZERDALI's profile photo

Khadija ZERDALI

in silico expert and senior toxicologist

Khadija Zerdali LinkedIn profile
Stephane PIERRE is an in silico expert

Stephane PIERRE

Regulatory Advisor

Stephane Pierre LinkedIn profile

Supported by the combined expertise of CEHTRA’s in silico consultants and regulatory specialists:

Maurine DUPLAA

Toxicology

Maurine Duplaa LinkedIn profile

Clarisse BAVOUX

Cosmetics

Clarisse Bavoux LinkedIn profile

Nathalie HANON

Biocides

Cyril Durou LinkedIn profile

Emmanuelle BISCEGLIA

Toxicology

Emmanuelle BISCEGLIA LinkedIn profile

Julien LEGHAIT

Endocrine Disruption

Marie LIAMIN

Food Products

Julien Leghait LinkedIn profile
Marie LIAMIN LinkedIn profile

Léa AROKIASSAMY

Toxicology

Léa AROKIASSAMY LinkedIn profile

Mathieu ROLLAND

Chemicals (REACH)

Sophie SIMAR

Pharmaceuticals

Mathieu Rolland LinkedIn profile
Sophie SIMAR LinkedIn profile

Brigitte CASENAVE

Chemistry

Brigitte Casenave LinkedIn profile

Pierre-Yves JOYEUX

Medical Devices

Mathieu Rolland LinkedIn profile

Estelle BELTRAN

Plant Protection

Stephane Pierre LinkedIn profile

QSAR & Read-across predictions

Simply Predict applies a battery of recognized QSAR models and Read-Across tools to predict a broad range of physicochemical, human health, environmental, and ecotoxicological properties.

If you plan to use these predictions to support regulatory submissions, our experts can assist with the preparation of all required documentation.

In silico and QSAR predictions for Physicochemical endpoints

Physicochemical properties

  • Density

  • Dissociation constant (pKa)

  • Flash point

  • Hydrolysis

  • Melting point

  • Boiling point

  • Octanol-water partition coefficient (Log Kow)

  • Vapour pressure

  • Viscosity

  • Water solubility

In silico and QSAR predictions for Human Health endpoints

Human Health properties

  • Acute dermal toxicity

  • Acute oral toxicity

  • Acute inhalation toxicity

  • Carcinogenicity

  • Dermal absorption

  • Developmental toxicity

  • Endocrine Disruption (EATS)

  • Eye irritation/corrosion

  • Genotoxicity

  • Mutagenicity

  • Repeated dose toxicity

  • Reproductive toxicity

  • Skin irritation/corrosion

  • Skin sensitisation

In silico and QSAR predictions for Ecotoxicological endpoints

Ecotoxicological properties

  • Acute toxicity to Fish

  • Long-term toxicity to Fish

  • Short-term toxicity to Daphnia

  • Long-term toxicity to Daphnia

  • Short-term toxicity to Algae

  • Endocrine Disruption (EATS)

In silico and QSAR predictions for Environmental endpoints

Environmental properties

  • Bioaccumulation (BAF)

  • Bioconcentratiion (BCF)

  • Ready Biodegradability

The full list of models we use is extensive and varies depending on the endpoint.
Below are some examples of well-established models we regularly apply:

OECD QSAR Toolbox, Leadscope, Nexus DEREK, CASE Ultra,

Danish QSAR Models, VEGA, EPISuite, Toxtree, ProtoPRED

Curious if your substances can be reliably predicted?

QSAR training adapted to your needs

Simply Predict, a CEHTRA service, benefits from the Qualiopi certification as its training courses are delivered under CEHTRA’s certified training organization

QSAR & Read-across
training for toxicologists

  • Learn how to apply in silico toxicology models, generate reports, and assess the reliability of predicted results.

  • Hands-on case studies covering multiple toxicological endpoints, including skin sensitisation, Ames mutagenicity, and more.

  • A comprehensive overview of widely used in silico tools such as OECD QSAR Toolbox, Toxtree, VEGA, and others.

  • Case studies include mono-constituents, impurities, mixtures, and UVCBs.

  • Guidance on integrating in silico results into regulatory submissions, including QMRF and QPRF report preparation.

Bespoke QSAR & Read-across training for companies

  • Focused on What Matters to You

  • Flexible coverage of physicochemical, toxicological, and ecotoxicological endpoints.

  • Selection of in silico models and case studies tailored to your specific needs.

  • Available as on-site or virtual training in English, French, and Italian.

  • Dates, duration, and number of participants can be fully customized to suit your requirements.

Interested in our training courses? Speak with our experts today!

In collaboration with ToxNavigation, we offer access to their popular eLearning courses on justifying and reporting in silico assessments to a wide range of different regulators. Tutor support is provided along with 12 month access to the course material. The courses have optional subtitles in French, Spanish, German, Italian and English. 

The courses are recognized by EUROTOX for Continued Professional Development for accredited ERT toxicologist.

  • Background to build a justifiable read-across and use of (Q)SAR for both screening and regulatory purposes

  • Introduction and demonstrations of a wide variety of free software resources

  • 26 hours + exams and home assignments

  • In silico assessment of potential mutagenicity under regulatory guidelines (e.g. ICH M7) delivered as a live video lecture

  • Assessing discordant predictions between statistical and mechanistic  models

  • Handling nitrosamines

  • Practical demonstrations and guides on how to use the modules in the OECD QSAR Toolbox

  • Conducting a read-across with the Toolbox

  • Reporting

  • 22 hours + exams and home assignments

Please contact Simply Predict for a special discounted access.

Why choose Simply Predict?

In silico and QSAR solutions by Simply Predict combines input from toxicologists, ecotoxicologists and in silico experts
In silico and QSAR solutions by Simply Predict are unbiased
Timely support from In silico Experts

Combined expertise
for a decisive strategy

Our QSAR specialists select and apply the most fit-for-purpose battery of models, while our regulatory experts validate the overall strategy and ensure the conclusions are compliant and robust.

100% non-conflicted and
unbiased solutions

We do not develop in-house prediction models, nor do we promote a preferred list of tools or developers. Instead, we curate the most suitable in silico models from a broad range of available solutions—tailored case by case to best meet your needs.

Timely Support
You Can Rely On

We strive to respond to all standard inquiries within 2 business days.

Latest announcements

3-6 June, 2025
Faizan Sahigara attended the 21st International workshop on QSAR in Environmental and Health Sciences in Milan, Italy

16-20 March, 2025
Faizan Sahigara and Stephane PIERRE attended the 2025 SOT Annual Meeting and ToxExpo in Orlando, USA

16-17 October, 2024
Faizan Sahigara attended the Ecetoc workshop on integrating AI into chemical safety assessment in Sophia Antipolis, France

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You can reach us at:

+33 (0)6 10 66 47 14

Mon-Fri: 9:00 - 18:00

(except bank holidays)

Our address

CEHTRA (Paris offices)

126 rue du Landy

93400 Saint-Ouen, France

Closest metro: Mairie de Saint-Ouen

(metro lines 13 & 14)

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Simply Predict is a CEHTRA service

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