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In silico consulting and QSAR training
for your R&D and regulatory needs

Simply Predict integrates the power of in silico consulting and QSAR training into CEHTRA’s more than two decades of experience in regulatory support for Human Health, Ecotoxicology and Environmental Risk Assessment.

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Simply Predict provides in silico predictions for chemical structures

AI-powered in silico toxicology

Applying Artificial Intelligence-based (Machine Learning) approaches, notably

Quantitative Structure Activity Relationships (QSARs) & Read-across through a wide range of reliable and recognised tools, Simply Predict aims to promote in silico New Approach Methodologies (NAMs) to replace animal testing and provide cost and time-effective solutions (consulting and training) to meet R&D needs and regulatory obligations of our clients, notably for:

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REACH (Chemicals)

In silico predictions for REACH dossier including required documentation

(QMRF, QPRF and QAF)

Cosmetics

Risk assessment of cosmetic ingredients and formulations (CPSR), prediction of potential metabolites, Read-Across

Pharmaceuticals

Toxicological profiling including mutagenic potential of impurities using Expert-rule based and Statistical models for ICH M7

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Biocides

Bridging / Read-across and in silico predictions for various human health and ecotoxicological endpoints

Plant Protection

Toxicological profiling of active ingredients (and formulations) in crop protection chemicals and agrochemicals.

Endocrine Disruption

Identifying Endocrine Disrupting Chemicals: Estrogen, Androgen, Thyroid and Steroidogenic receptors (EATS)

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Food products

Eco(toxicology) and Environmental properties for biocidal active substances and co-formulants

Packaging

Toxicity profiling (including CMR endpoints) of cosmetic packaging and food contact materials,

Medical Devices

Screening of Endocrine Disrupting Chemicals: estrogen, androgen, thyroid and steroidogenic receptors (EATS)

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Which in silico NAMs?

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Graphic of a Linear Regression
read across

Structural Alerts (SAR)

 

Expert-rule based models to identify structural fragments contributing to the toxicity potential of a chemical structure

Examples: Derek Nexus, Toxtree

QSAR

 

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

Examples: Leadscope, VEGA

Read Across

 

Identifies structurally and mechanistically similar chemical structures (analogues) with known experimental data

Example: OECD QSAR Toolbox

Our in silico experts

Faizan Sahigara's photo

Faizan SAHIGARA

QSAR expert & Business Developer

Faizan Sahigara LinkedIn profile
Khadija ZERDALI's profile photo

Khadija ZERDALI

In Silico expert & Project Manager

Khadija Zerdali LinkedIn profile
Stephane PIERRE's photo

Stephane PIERRE

Regulatory Advisor

Stephane Pierre LinkedIn profile

Accompanied by the joint expertise of other in silico consultants and regulatory experts at CEHTRA!

Maurine DUPLAA

Toxicology

Maurine Duplaa LinkedIn profile

Clarisse BAVOUX

Cosmetics

Clarisse Bavoux LinkedIn profile

Nathalie HANON

Biocides

Cyril Durou LinkedIn profile

Mylène LEGER

Ecotoxicology

Maurine Duplaa LinkedIn profile

Julien LEGHAIT

Endocrine Disruption

Marie LIAMIN

Food Products

Julien Leghait LinkedIn profile
Cyril Durou LinkedIn profile

Oussemah OUALI

Chemistry

Oussemah Ouali LinkedIn profile

Mathieu ROLLAND

Chemicals (REACH)

Stephane PIERRE

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

Unlock the benefits of in silico models

in silico QSAR models saves time
in silico QSAR models saves money
in silico QSAR models reduces animal testing
in silico QSAR models are alternative to animal testing
in silico QSAR models are acceptable to regulatory authorities

Significantly saves you time,

costs and resources for all your

R&D requirements and

regulatory submissions.

Growing use in the context of

New Approach Methodologies (NAMs),

Next Generation Risk Assessment (NGRA) and 3Rs (Replacement, Reduction and Refinement of animal testing)

Accepted by regulatory authorities, notably for REACH & Cosmetics

dossier submissions and ICH M7

guideline for Pharmaceuticals

QSAR & Read-across predictions

Simply Predict applies a battery of recognized QSARs and Read-across tools to predict a wide range of Physicochemical, Human Health, Environmental and Ecotoxicological properties.

 

If you intend to use predicted results to fulfill regulatory obligations, our experts can help with required documentation.

Physicochemical properties predicted using in silico QSAR models

Physicochemical properties

  • Density

  • Dissociation constant (pKa)

  • Flash point

  • Hydrolysis

  • Melting point

  • Boiling point

  • Octanol-water partition coefficient (Log Kow)

  • Vapour pressure

  • Viscosity

  • Water solubility

Toxicology properties predicted using in silico QSAR models

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

Aquatic toxicity to fish predicted using in silico QSAR models

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)

Environmental toxicity endpoints predicted using in silico QSAR models

Environmental properties

  • Bioaccumulation (BAF)

  • Bioconcentratiion (BCF)

  • Ready Biodegradability

The complete list of models we apply is long and verifies between endpoints.

Here are some examples of well-known models we apply on a regular basis!

OECD QSAR Toolbox, Leadscope, Nexus DEREK, Danish QSAR Models, VEGA, EPISuite, Toxtree

Check out if your substances of interest

can be predicted reliably with Simply Predict!

QSAR training adapted to your needs

QSAR & Read-across training for toxicologists

Key objectives:

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

Case studies covering multiple toxicological endpoints including Skin Sensitisation, Ames Mutagenicity etc.

Battery of multiple in silico models covered including OECD QSAR Toolbox, Toxtree, VEGA etc.

Case studies designed to cover mono-constitutents, impurities, mixtures and UVCBs

Learn how to use in silico results in regulatory submissions: QMRF & QPRF reports

Interested to know more?

Why choose Simply Predict?

Combined expertise of QSAR and regulatory experts in Simply Predict
non-biased QSAR and in silico solutions with Simply Predict
Simply Predict team responds to client queries in two working days

Combined expertise
for a decisive strategy

Our QSAR experts identify and

run the most fit-for-purpose battery of models and our regulatory experts validate the strategy and conclusions.

100% non-conflicted and
non-biased solutions

We do not develop any in-house prediction models or tools or have any preferred list of models or developers to work with! We propose curated solutions from a wide pool of in silico models on a case by case basis.

Because
time matters...

All standard queries are assured a response within 2 working days.

Latest announcements

CEHTRA is an associated partner within AiChemist MSC DN.
Check out the project homepage!

Check out our poster on in silico NAMs presented at SFT's annual meeting in Paris!

Paris workshop on in silico NAMs in collaboration with Toxnavigation on 28th June, 2024

Never miss any of our updates!

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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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