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Journal papers


  • (43) Vavouraki N, Tomkins JE, Kara E, Houlden H, Tindall MJ, Lews PA and Manzoni C. Integrating protein networks and machine learning for disease stratification in Hereditary Spastic Paraplegias. iScience, doi.org/10.1016/j.isci.2021.102484, 2021.

  • (42) Derrick DJA, Wolton K, Currie RA and Tindall MJ. A mathematical model of the role of aggregation in sonic hedgehog signaling. PLoS Comput Biol., 17(2):e1008562, 2021.
  • (41) Mazet F,Tindall, MJ ,Gibbins JMandFry MJ.A model of the PI cycle reveals the regulating roles of lipid-binding proteins and pitfalls of using mosaic biological data.Sci Rep, 10 (1), 2020.
  • (40) Stainer A, Sasikumar P, Bye AP, Unsworth AJ, Holbrook LM, Tindall MJ, Lovegrove JA and Gibbins JM. The metabolites of the dietary flavonoid quercetin possess potent antithrombotic activity, and interact with aspirin to enhance antiplatelet effects. TH Open, 3(3), e244-e258, 2019.

  • (39) Ward JP, Franks SJ, Tindall MJ, King JR, Curtis A and Evans GS. Mathematical modelling of contact dermatitis from nickel and chromium. Journal of Mathematical Biology, 79(2), 595-630, 2019.

  • (38) Cucurull-Sanchez L, Chappell MJ, Chelliah V, Amy Cheung SY, Derks G, Penney M, Phipps A, Malik-Sheriff RS, Timmis J, Tindall MJ, van der Graaf PH, Vicini P, Yates JWT. CPT Pharmacometrics Syst Pharmacol, doi: 10.1002/psp4.12381, 2019.

  • (37) Pool F, Sweby PK and Tindall MJ. An integrated mathematical model of cellular cholesterol biosynthesis and lipoprotein metabolism. Processes. 6(8), 134, 2018. Invited Paper for Special Issue on Methods in Computational Biology, 2018.

  • (36) Moore JB, Maldonado E, Fisher C, Mazzatti D, Barber A, Tindall MJ, Plant N and Kierzek A. Multi-scale, whole-system models of liver metabolic adaptation to fat and sugar in non-alcoholic fatty liver disease. NPJ Systems Biology and Applications, 4(1), 33, 2018.

  • (35) Tindall MJ System insights into hemostasis: Open questions and the role of mathematical modelling. Comment on "Modeling thrombosis in silico: Frontiers, challenges, unresolved problems and milestones" by A.V. Belyaev et al. Physics of Life Reviews. March, 2018.

  • (34) Snowden TJ, van der Graaf PH, Tindall MJ Model reduction in mathematical pharmacology : Integration, reduction and linking of PBPK and systems biology models. J Pharmacokinet Pharmacodyn. doi: 10.1007/s10928-018-9584-y, 2018.

  • (33) Edgington M.P. and Tindall MJ Mathematical analysis of the Escherichia coli chemotaxis signalling pathway. Bull Math Biol. 80(4):758-787, 2018.

  • (32) Pool F., Currie R., Sweby P.K., Salazar J.D. and Tindall MJ A mathematical model of the mevalonate cholesterol biosynthesis pathway. J Theor Biol. 443:157-176, 2018.

  • (31) Dede E, Tindall MJ, Cherrie J.W., Hankin S., Collins C.. Physiologically-based pharmacokinetic and toxicokinetic models for estimating human exposure to five toxic elements through oral ingestion. Environ Toxicol Pharmacol. 57:104-114, 2018.

  • (30) Snowden, T.J., van der Graaf, P.H. and Tindall, M.J. Methods of model reduction for large-scale biological systems: A survey of current methods and trends. Bull Math Biol. 79(7):1449-1486, 2017.

  • (29) Snowden, T.J., van der Graaf, P.H. and Tindall, M.J. A combined model reduction algorithm for controlled biochemical systems. BMC Syst Biol., 11(1):17, 2017.

  • (28) Dunster, J.L., Mazet, F., Fry, M., Gibbins, J. and Tindall, M.J. Regulation of early steps of GPVI signal transduction by phosphatases: a systems biology approach. PLoS Comput Biol., 11(11):e1004589, 2015.

  • (27) Mazet, F., Dunster, J.L., Jones, C., Vaiyapuri, S., Tindall, M.J., Fry, M. and Gibbins, J. A high-density immunoblotting methodology for quantification of total protein levels and phosphorylation modifications. Sci Rep., 5:16995, 2015.

  • (26) Edgington, M.P. and Tindall, M.J. Understanding the link between single cell and population scale responses of Escherichia coli in differing ligand gradients. Invited paper. Comput. Struct. Biotechnol. J., 13:528-38, 2015.

  • (25) Tindall, M.J. and Clerk, A. Modelling negative feedback networks for activating transcription factor 3 predicts interplay between transcription factors and miRNAs in immediate early gene regulation. Accepted in PLoS Computational Biology. PLoS Comput Biol. 10(5):e1003597, 2014.

  • (24) Edgington, M.P. and Tindall, M.J. Fold-change detection in a whole-pathway model of Escherichia coli chemotaxis. Bull Math Biol., 76(6):1376-95, 2014.

  • (23) Bhattacharya, B.S., Sweby, P.K., Minihane, A., Jackson, K.G. and Tindall, M.J. A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway. J. Theor. Biol., 349:150-62, 2014.

  • (22) Wright, B., Tindall, M.J., Lovegrove, J.A. and Gibbins, J.M. Investigating flavonoids as molecular templates for the design of small-molecule inhibitors of cell signalling. J. Food Sci. 78(12):N1921-8, 2013.

  • (21) Lee, T.E., Baines, M.J., Langdon, S. and Tindall, M.J. A moving mesh approach for modelling avascular tumour growth. Appl. Num. Math., 72, 99114, 2013.

  • (20) Kojadinovic, M., Armitage, J.P., Tindall, M.J. and Wadhams, G.H. Response kinetics in the complex chemotaxis signalling pathway of Rhodobacter sphaeroides. J. Royal. Soc. Interface, 10(81):20121001, 2013.

  • (19) Giraldo, A., Barrett, O.P.T., Tindall, M.J., Fuller, S.J., Amirak, E.A, Bhattacharya, B.S., Sugden, P.H. and Clerk, A. Feedback regulation by Atf3 in the endothelin-1-responsive transcriptome in cardiomyocytes: Egr1 is a principal Atf3 target. Biochem. J., doi:10.1042/BJ20120125, 2012.

  • (18) Tindall, M.J., Gaffney, E., Maini, P.K. and Armitage, J.P. Theoretical insights into bacterial chemotaxis (Invited Review). Wiley Interdiscip. Rev. Syst. Biol. Med, doi:10.1002/wsbm.1168., 2012.

  • (17) Murray, P.J., Edwards, C.M., Tindall, M.J. and Maini, P.K. Classifying general nonlinear force laws in cell-based models via the continuum limit. Phys. Rev. E., 85(2), doi:10.1103/PhysRevE.85.021921, 2012.

  • (16) Tindall, M.J., Dyson, L., Smallbone, K. and Maini, P.K.Modelling Acidosis and the Cell Cycle in Multicellular Tumour Spheroids. J. Theor. Biol., 298, 107-115, 2012.
  • (15) Artzrouni, M., Begg, C.B., Chabiniok, R., Clairambault, J., Foss, A.J.E., Hargrove, J., Lee, E.K., Siggers, J. and Tindall, M.J. The first international workshop on the role and impact of mathematics in medicine: A collective account. Am. J. Trans. Res., 3(5), 492-497, 2011.

  • (14) Murray, P.J., Walter, A., Edwards, C.M., Tindall, M.J. and Maini, P.K. Comparing a discrete and continuum model of the intestinal crypt. Phys. Biol., 8(2), 026011, 2011.

  • (13) Tindall, M.J., Porter, S.L., Maini, P.K. and Armitage, J.P. Modeling chemotaxis reveals the role of reversed phosphotransfer and a bi-functional phosphatase, PLoS Comput. Biol., 6(8), e1000896, 2010.

  • (12) Murray, P.J., Edwards, C.M., Tindall, M.J. and Maini, P.K. From a discrete to a continuum model of cell dynamics in one dimension, Phys. Rev. E., 80(3), 031912, 2009.

  • (11) Tindall M.J., Porter S.L., Wadhams G.H., Maini P.K. and Armitage J.P. Spatiotemporal modelling of CheY complexes in Escherichia coli chemotaxis, Prog. Biophys. Mol. Biol. 2009 Jun 18.

  • (10) Tindall, M.J., Wattis, J.A.D., O'Malley, B., Pickersgill, L. and Jackson, K.G. A continuum receptor model of hepatic lipoprotein metabolism, J. Theor. Biol., 257(3), 371-84, 2009.

  • (9) Tindall, M.J., Peletier, M.A., Severns, N.M.W., de Mol, B.A.G.M. and Veldman, D.J. Understanding the post-operative temperature drop in cardiac surgery: A mathematical model, Math. Med. Biol., 25(4), 323-35, 2008.

  • (8) Tindall, M.J., Gaglia, G., Maini, P.K., Porter, S. and Armitage, J.P. Overview of mathematical approaches used to model bacterial chemotaxis I: The single cell, Bull. Math. Biol., 70(6), 1525-69, 2008.

  • (7) Tindall, M.J., Maini, P.K., Porter, S. and Armitage, J.P. Overview of mathematical approaches used to model bacterial chemotaxis II: Modelling bacterial populations, Bull. Math. Biol., 70(6), 1570-607, 2008.

  • (6) Franks, S.J., Ward, J.P., Tindall, M.J., Jones, A. And Evans, G.S. A mathematical model to predict differences in keratinocyte responses to chromium and nickel, Toxic. in Vitro, 22(4), 1088-93, 2008.

  • (5) Tindall, M.J., Please, C.P. and Peddie, M.J. The formation of necrotic regions in avascular tumours, Math. Bio., 211(1), 34-55, 2008.

  • (4) Tindall, M.J. and Please, C.P. Modelling the cell cycle and cell movement in multicellular spheroids, Bull. Math. Biol., 69(4), 1147-65, 2007.

  • (3) Alarcon, T. and Tindall, M.J. Modelling cell growth and its modulation of the G1/S transition, Bull. Math. Biol., 69(1), 197-214, 2007.

  • (2) Dupplaw, D., Brunson, D., Vine, A., Please, C.P., Lewis, S.M., Dean, A.M., Keane, A.J. and Tindall, M.J. Web-based knowledge elicitation and application to planned experiments for product development, ASME, 4, 218-225, 2004.

  • (1) Pettet, G.J., Please, C.P., Tindall, M.J. and McElwain, D.L.S. The migration of cells in multicell tumor spheroids, Bull. Math. Biol., 63 (2), 231-257, 2001.

Book chapters
  • (1) Intracellular signalling during bacterial chemotaxis, Tindall, M.J., Maini, P.K. and Armitage, J.P. in Practical Systems Biology: an introduction for life scientists, SEB Exp. Biol. Ser., 61, 161-74, 2008.

Conference papers
  • (7) Healing, E., Meira, L.B., Aston, P.J., Tindall, M.J. and Elliott, R.M. Measurement of DNA repair activity in hepatocytes exposed to fatty acids. Proceedings of the Nutrition Society, 75 (OCE3), 2016. doi:https://doi.org/10.1017/S0029665116000872

  • (6) Maldonado, E.M., Tindall, M.J., Plant, N.J., Kerzek, A.M. and Moore, J.B. Development of a dynamic multi-scale, computational model of human hepatic glucose and fructose metabolism. Proceedings of the Nutrition Society, 75 (OCE3), 2016. doi:https://doi.org/10.1017/S0029665116000896.

  • (5) Dede, E., Collins, C., Tindall, M.J., Cherrie, J.W. and Searl, A. Investigating the human health impact of contaminated land (using allotments): results from a pilot study. 7th International Conference of Sustainable Developing Built Environment, Reading, UK, July 2015.

  • (4) Symbolic Systems Biology: A Roadmap, Ray, O. and Tindall, M.J., Workshop on Learning and Discovery in Symbolic Systems Biology University of Bristol, UK, 24 September 2012. A workshop of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

  • (3) Mathematics as a Tool in the Life Sciences, Tindall, M.J., Inaugural Annual Science, Technology Engineering and Mathematics (STEM) Conference, April 2012.

  • (2) Web-Based Knowledge Elicitation and Application to Planned Experiments for Product Development, Dupplaw, D., Brunson, D., Vine, A., Please, C.P., Lewis, S.M., Dean, A.M., Keane, A.J. and Tindall, M.J., Proceedings of ASME Design Engineering Technical Conferences, Sept 2003.

  • (1) Modelling Cell Movement and the Cell Cycle in Avascular Tumours, Tindall, M.J., Please, C.P., 2nd European Medical and Biological Engineering Conference, Vol. 2, 1188-1189, 2002.

Study Group Reports
  • (9) Mechanisms and localised treatment for complex heart rhythm disturbances , C. Bell, K. Bentahar, E. Chang, Z. Jones, S. Naire, F. Zohra Nouri, J. O'Flaherty, C. Please, S. Pravdin, G. Richardson, A. Setchi, J. Siggers, M. Tindall and J. Ward. 9th Mathematics in Medicine Study Group, Imperial College, September 2009.

  • (8) Sodium flux during dialysis, Bohun, C., Breward, C., Droumeva, R., Griffiths, I., Hennessey, M., Huang, H., Kloosterman, M., Pan, A., Raymond, C., Schwendeman, D., Siggers, J., Tilley, B.S., Tindall, M., Wattis, J., Whiteley, J., Whittaker, R. and Williams, J.F. 1st OCCAM-Fields-MITACS Math-in-Medicine Study Group, Toronto, Canada, June 2009.

  • (7) Modelling landrace structure in under-utilised crops: the bambara groundnut example. Band, L., Preston, S.P., White, S. and Tindall, M.J. 2nd Mathematics in the Plant Sciences Study Group, Nottingham, January 2009.

  • (6) A systems approach for improving tea aroma, Champneys, A., Rallapalli, S., Tindall, M.J. and Wattis, J. 1st Mathematics in the Plant Sciences Study Group, Nottingham, December 2007.

  • (5) Mathematical models of hepatic lipoprotein metabolism, Panovska, J., Tindall, M.J. and Wattis, J. 5th Mathematics in Medicine Study Group, Oxford, September 2005.

  • (4) Lipid Metabolism and comparative genomics, Tindall, M.J., Rougier, J.R., Pickersgill, L., Melrose, J., O'Malley, B. And Jones, J. 53rd European Study Group with Industry, Manchester, April 2005.

  • (3) Mathematical modelling of cooling and re-warming bodies during cardiac surgery, Tindall, M.J., Peletier, M. and Aitichison, J., 52nd European Study Group with Industry, Amsterdam, January 2005.

  • (2) Mathematical Modelling of Contact Dermatitis from Nickel and Chromium Exposure, Ward, J., Tindall, M.J. and Franks, S., 4th Mathematics in Medicine Study Group, University of Strathclyde, September 2004.

  • (1) Blunt Traumatic Aortic Injury, Howell, P.D., Tindall, M.J. , Proceedings of 1st Mathematics in Medicine Study Group, University of Nottingham, September 2000.

Other reports
  • Policy Analysis for Coronary Heart Disease: a Simulation Model of Interventions, Costs and Outcomes, Davies, R., Normand, C., Raftery, J., Roderick, P., Sanderson, C., Babad, H., Cooper, K., Shapo, L., Clemens, F., Tindall, M. and Chase, D. Department of Health Report, July 2003.

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