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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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Simply Predict provides in silico predictions for chemical structures

Next-Gen Toxicology Insights.
No Animals. Just Science.

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.

In silico and QSAR predictions for pharmaceutical impurities
In silico and QSAR predictions for chemical substances and their mixtures

Chemicals

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

In silico and QSAR predictions for cosmetic ingredients and cosmetic formulations

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

In silico and QSAR predictions for biocidal product families

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
In silico and QSAR predictions for endocrine disrupting properties of chemicals (EATS receptors)
In silico and QSAR predictions for food and feed substances (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

In silico and QSAR predictions for cosmetic packaging and food contact materials
In silico and QSAR predictions for the toxicological risk assessment of medical devices

In silico NAMs:
Smarter Science, Faster Results

structural alerts
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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

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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

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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's photo

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

Maurine Duplaa LinkedIn profile

Julien LEGHAIT

Endocrine Disruption

Marie LIAMIN

Food Products

Julien Leghait LinkedIn profile
Cyril Durou LinkedIn profile

Léa AROKIASSAMY

Toxicology

Oussemah Ouali LinkedIn profile

Mathieu ROLLAND

Chemicals (REACH)

Sophie SIMAR

Pharmaceuticals

Mathieu Rolland LinkedIn profile
Stephane Pierre 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.

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

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Physicochemical properties

  • Density

  • Dissociation constant (pKa)

  • Flash point

  • Hydrolysis

  • Melting point

  • Boiling point

  • Octanol-water partition coefficient (Log Kow)

  • Vapour pressure

  • Viscosity

  • Water solubility

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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

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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)

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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

Curious if your substances can be reliably predicted?

QSAR training adapted to your needs

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!

Why choose Simply Predict?

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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 will attend 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

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Closest metro: Mairie de Saint-Ouen

(metro lines 13 & 14)

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Simply Predict is a CEHTRA service

CEHTRA SAS, 15 rue Aristide Briand, 33150 Cenon, Bordeaux, France

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