Jane Cotterill

Jane is science lead and responsible for the management of Fera’s In Silico Predictive Toxicology (INSPECT) team. Her role is to deliver a high-quality service to a wide range of UK and overseas government and commercial clients.

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  • Area of expertise
    Physical and Analytical Chemistry
  • Years of experience
    20+
  • Highest qualification
    PhD

Jane is science lead and responsible for the management of Fera’s In Silico Predictive Toxicology (INSPECT) team. Her role is to deliver a high-quality service to a wide range of UK and overseas government and commercial clients. Estimates for a range of (eco)toxicological endpoints are used by INSPECT clients for regulatory submissions, screening and prioritisation, or to identify potential toxicity concerns for products at an early stage of development. The team utilises a range of in silico techniques, including Quantitative Structure Activity Relationships (QSAR), Read-across and Expert systems using a Weight of Evidence approach to obtain reliable (eco)toxicological estimates where experimental data is not available.

Jane has participated in several EU projects aimed at developing QSAR models designed specifically to be acceptable for regulatory use and is currently applying in silico models as part of a mixture test strategy in the Euromix project (https://www.eromixproject.eu). Jane has authored and co-authored over 25 peer-reviewed papers and book chapters. Jane has a PhD in applied Chemistry from the University of Newcastle Upon Tyne and a BSC (Hons) in Chemistry from the University of Nottingham.

More about In-Silico Predictive Toxicology

In Silico Predictive Toxicology (INSPECT) provides you with a reliable, rapid, ethical and cost-effective way to assess the safety of chemical products. Advanced computational (in silico) modelling means that we can now rapidly derive reliable (eco)toxicological assessments without the need for testing on animals.


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Writing
Services

Latest Papers and Articles

Cotterill, J.V., Palazzolo, L., Ridgway, C., Price, N. , Rorije, E., Moretto, A., Peijnenburg, A. and Eberini, I. (2019). Predicting Estrogen receptor binding of chemicals using a suite of in silico methods – complementary approaches of (Q)SAR, Molecular Docking and Molecular Dynamics. Submitted Toxicology and Applied Pharmacology

Nowack, B., Baalousha, M., Bornhöft, N., Chaudhry, Q, Cornelis, G., Cotterill, J., Gondikas, A., Hassellöv, M., Lead, J., Mitrano, D.M., von der Kammer, F. and Wontner-Smith, T. 2015. Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements. Environ. Sci. Nano, 2: 421-428.

Chaudhry, Q., Piclin, N., Cotterill, J., Pinatore, M., Price, N.R., Chretien, J.R. and Roncaglioni, A. (2010) Global QSAR models of skin sensitisers for regulatory purposes. Chemistry Central Journal, 4(Suppl 1):S5

Cotterill, JV; Chaudhry, MQ; Matthews, W; Watkins, RW (2008). In silico assessment of toxicity of heat-generated food contaminants. Food & Chemical Toxicology 46: 1905-1918

Benfenati, E., Zhao, C., Boriani, E., Roncaglioni, A., Piclin, N., Pintore, M., Lemke, F., Gini, G., Chaudhry, Q., Cotterill, J. and Schuurmann, G. (2008). The development of QSAR models for the REACH legislation: the case of the bioconcentration factor. SETAC Europe 18th Annual Meeting, Brussels, Extended abstracts p. 355-356.

Benfenati, E., Casalegno, M., Cotterill, J., Price, N., Spreafico, M. and Toropov, A. (2007). Characterization of chemical structures, In Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes, E. Benfenati (Ed.), Elsevier B.V., pp. 83-110

Amaury, N., Benfenati, E., Boriani, E., Casalegno, M., Chana, A., Chaudhry, Q., Chrétien, J.R., Cotterill, J., Lemke, F., Piclin, N., Pintore, M., Porcelli, C., Price, N., Roncaglioni, A. and Toropov, A. (2007). Results of the Modelling Step, In Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes, Benfenati, E. (Ed), pp 201, Elsevier

Chaudhry, M.Q., Cotterill, J.V., Watkins, R. and Price, N. (2006). A molecular modelling approach to predict the toxicity of compounds generated during heat treatment of foods, In Acrylamide and other health hazardous compounds in heat-treated foods. K. Skog and J. Alexander (Eds), Woodhead Publishing, pp. 132-162

Jane and their team work with customers to deliver the following services within Fera...


Food Contact Materials Testing

Our work involves targeted and non targeted analysis of known and unknown migrants. Analysis can be carried out in complex matrices (foods, food simulants and food contact materials and articles) utilising a range of advanced chromatographic and mass spectrometric techniques.

Learn more

Contaminant Testing

Our experts focus on the scientific research relating to intentionally added food components and to those arising from chemical changes during food processing, bioactive chemicals and natural toxicants.

Learn more

Authenticity Testing

Fera's analysts use industry leading techniques and cutting edge technologies to ensure compliance with food safety regulations, protecting public health and traceability.

Learn more

All Our Food Safety Science
Writing

Latest Papers and Articles

Cotterill, J.V., Palazzolo, L., Ridgway, C., Price, N. , Rorije, E., Moretto, A., Peijnenburg, A. and Eberini, I. (2019). Predicting Estrogen receptor binding of chemicals using a suite of in silico methods – complementary approaches of (Q)SAR, Molecular Docking and Molecular Dynamics. Submitted Toxicology and Applied Pharmacology

Nowack, B., Baalousha, M., Bornhöft, N., Chaudhry, Q, Cornelis, G., Cotterill, J., Gondikas, A., Hassellöv, M., Lead, J., Mitrano, D.M., von der Kammer, F. and Wontner-Smith, T. 2015. Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements. Environ. Sci. Nano, 2: 421-428.

Chaudhry, Q., Piclin, N., Cotterill, J., Pinatore, M., Price, N.R., Chretien, J.R. and Roncaglioni, A. (2010) Global QSAR models of skin sensitisers for regulatory purposes. Chemistry Central Journal, 4(Suppl 1):S5

Cotterill, JV; Chaudhry, MQ; Matthews, W; Watkins, RW (2008). In silico assessment of toxicity of heat-generated food contaminants. Food & Chemical Toxicology 46: 1905-1918

Benfenati, E., Zhao, C., Boriani, E., Roncaglioni, A., Piclin, N., Pintore, M., Lemke, F., Gini, G., Chaudhry, Q., Cotterill, J. and Schuurmann, G. (2008). The development of QSAR models for the REACH legislation: the case of the bioconcentration factor. SETAC Europe 18th Annual Meeting, Brussels, Extended abstracts p. 355-356.

Benfenati, E., Casalegno, M., Cotterill, J., Price, N., Spreafico, M. and Toropov, A. (2007). Characterization of chemical structures, In Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes, E. Benfenati (Ed.), Elsevier B.V., pp. 83-110

Amaury, N., Benfenati, E., Boriani, E., Casalegno, M., Chana, A., Chaudhry, Q., Chrétien, J.R., Cotterill, J., Lemke, F., Piclin, N., Pintore, M., Porcelli, C., Price, N., Roncaglioni, A. and Toropov, A. (2007). Results of the Modelling Step, In Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes, Benfenati, E. (Ed), pp 201, Elsevier

Chaudhry, M.Q., Cotterill, J.V., Watkins, R. and Price, N. (2006). A molecular modelling approach to predict the toxicity of compounds generated during heat treatment of foods, In Acrylamide and other health hazardous compounds in heat-treated foods. K. Skog and J. Alexander (Eds), Woodhead Publishing, pp. 132-162

Services

Jane and their team work with customers to deliver the following services within Fera...


Food Contact Materials Testing

Our work involves targeted and non targeted analysis of known and unknown migrants. Analysis can be carried out in complex matrices (foods, food simulants and food contact materials and articles) utilising a range of advanced chromatographic and mass spectrometric techniques.

Learn more

Contaminant Testing

Our experts focus on the scientific research relating to intentionally added food components and to those arising from chemical changes during food processing, bioactive chemicals and natural toxicants.

Learn more

Authenticity Testing

Fera's analysts use industry leading techniques and cutting edge technologies to ensure compliance with food safety regulations, protecting public health and traceability.

Learn more

All Our Food Safety Science

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