Name Mark Hewitt
Job Title

Senior lecturer in Pharmaceutics

BSc Admissions tutor 

Faculty Faculty of Science and Engineering
School School of Pharmacy
Subject(s) Pharmacy, Pharmaceutical Science and Pharmacology
Tel 01902 321812

Mark Hewitt Image

Mark completed a BSc in Pharmaceutical and Chemical Science at Liverpool John Moores University in 2004 achieving the “Best Final Year Student” award sponsored by GlaxoSmithKline. He then completed a PhD (funded by ReProTect - a European Union research project) in the area of predictive toxicology in 2007.

Mark went on to work as a post-doctoral researcher on two large research projects funded by the European Union and the Innovative Medicines Initiative. Work on both projects involved the development of computational tools for the toxicological assessment of pharmaceuticals with the aim of reducing the reliance on animal models.During this time, Mark gained experience teaching on various degree courses.

In 2014, Mark joined the University of Wolverhampton as lecturer in pharmaceutics and is now involved in teaching on the MPharm, BSc Pharmaceutical Science, BSc Pharmacology, HND Pharmaceutical Science, Faculty of Science and Engineering Foundation Year and MSc degree courses within the School of Pharmacy. 

Mark is the admissions tutor for the BSc and HND courses within the School of Pharmacy and also has the following roles and responsibilities: 

  • Course development
  • Development and maintenance of the School of Pharmacy website
  • Member of the Faculty of Science and Engineering Website Task Group
  • Marketing and recruitment team member
  • University open days
  • MPharm applicant days
  • Contact person within the School in relation to the implementation of LabArchives (electronic laboratory notebook) 

Mark was nominated for the Vice Chancellors “Unsung Hero” award in 2016 for his dedication to teaching and support of students and fellow colleagues.

Include pharmaceutics, pharmaceutical / computational chemistry, predictive toxicology / pharmacology and chemoinformatics in rational drug design.

The application of predictive methods in drug discovery, design and development. Computational drug screening and investigation of drug toxicity. 

Regulatory usage and acceptance of predictive methods to support drug development and the production of safer medicines.

Teaching and learning in the sciences and the development of science focused “soft skills”.


Fellow of the Higher Education Academy (FHEA)



Journal Articles


M. Hewitt, C.M. Ellison, M.T.D. Cronin, M. Pastor, T. Steger-Hartmann, J. Munoz-Muriendas, F. Pognan and J.C. Madden. (2015) Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. Advanced Drug Delivery Reviews, In press.


M. Hewitt, S.J. Enoch, J.C. Madden, K.R. Przybylak and M.T.D. Cronin. (2013) Hepatotoxicity: A scheme for generating chemical categories for read-across, structural alerts and insights into mechanism(s) of action. Critical Reviews in Toxicology. 43, 537-558.


L. Yang, D. Neagu, M.T.D. Cronin, M. Hewitt, S.J. Enoch, J.C. Madden and K. Przybylak. (2013) Towards a fuzzy expert system on toxicological data quality assessment. Molecular Informatics. 32, 65-78.


J.C. Madden, M. Hewitt, K.R. Przybylak, R.J. Vandebriel, A.H. Piersma and M.T.D. Cronin. (2012) Strategies for the Optimisation of in vivo Experiments in Accordance with the 3Rs Philosophy. Regulatory Toxicology and Pharmacology. 63, 140-154.


K.R. Przybylak, J.C. Madden, M.T.D. Cronin and M. Hewitt. (2012) Assessing Toxicological Data Quality: Basic Principles, Existing Schemes and Current Limitations.SAR and QSAR in Environmental Research. 23, 435-459.


M. Hewitt, M.T.D. Cronin, P.H. Rowe and T.W. Schultz. (2011) Repeatability Analysis of the Tetrahymena pyriformis Population Growth Impairment Assay.SAR and QSAR in Environmental Research. 22, 621-637.


J.A. Schwöbel, Y.K. Koleva, S.J. Enoch, F. Bajot, M. Hewitt, J.C. Madden, D.W. Roberts, T.W. Schultz and M.T.D. Cronin. (2011) Measurement and Estimation of Electrophilic reactivity for predictive toxicology.Chemical Reviews. 111, 2562-2596.


M.T.D. Cronin, S.J. Enoch, M. Hewitt and J.C. Madden. (2011)Formation of Mechanistic Categories and Local Models to Facilitate the Prediction of Toxicity.ALTEX 28, 45-49.


J.C. Dearden and M. Hewitt. (2010) QSAR Modelling of Bioconcentration factor using Hydrophobicity, Hydrogen Bonding and Topological Descriptors. SAR and QSAR in Environmental Research. 21, 671-680.  


M. Hewitt, C.M. Ellison, S.J. Enoch, J.C. Madden and M.T.D. Cronin. (2010) Integrating (Q)SAR models, expert systems and read-across approaches for the prediction of developmental toxicity.Reproductive Toxicology. 30, 147-160.



Book Chapters

M. Hewitt and K. Przybylak. (2016) In Silico Models for Hepatotoxicity. In “In Silico Methods for Predicting Drug Toxicity”, E. Benfenati (Ed), Springer: New York.

M. Hewitt and C.M. Ellison. (2010). Developing the Applicability Domain of In Silico Models: Relevance, Importance and Methods. In “In Silco Toxicology: Principles and Applications”, M.T.D. Cronin and J.C. Madden (Eds). RSC Publishing, London.

M.T.D. Cronin and M. Hewitt. (2007) In Silico Models to Predict Passage through the Skin and Other Barriers. In “Comprehensive Medicinal Chemistry II”, J.B. Taylor; D.J. Triggle, Eds. Elsevier: Oxford, Vol. 5:725-744.