Article

Norton, V. ORCID: https://orcid.org/0000-0002-1961-2539, Wagstaff, C. ORCID: https://orcid.org/0000-0001-9400-8641, Rodriguez Garcia, J., Lovegrove, A., Shewry, P., Charlton, M., Gillett, N., Tindall, M. J. and Lignou, S. ORCID: https://orcid.org/0000-0001-6971-2258 (2024) “Wait, do I need more fiber?” Exploring UK consumers’ dietary fiber-related awareness and white bread as a viable solution to promote subsequent intake. Current Developments in Nutrition, 8 (9). 104430. ISSN 2475-2991 doi: https://doi.org/10.1016/j.cdnut.2024.104430

Norton, V. ORCID: https://orcid.org/0000-0002-1961-2539, Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455, Tindall, M., Rodriguez Garcia, J. ORCID: https://orcid.org/0000-0002-4986-3144 and Lignou, S. ORCID: https://orcid.org/0000-0001-6971-2258 (2024) Fibre4life: investigating older adults dietary fibre preferences and the role of targeted educational materials on modulating future dietary fibre intake. Appetite, 192. 107109. ISSN 1095-8304 doi: https://doi.org/10.1016/j.appet.2023.107109

Tindall, M. J. ORCID: https://orcid.org/0000-0001-6069-5260, Cucurull-Sanchez, L., Mistry, H. and Yates, J. W.T. (2023) Quantitative systems pharmacology and machine learning: a match made in heaven or hell? The Journal of Pharmacology and Experimental Therapeutics, 387 (1). pp. 92-99. ISSN 1521-0103 doi: https://doi.org/10.1124/jpet.122.001551

Dodd, J., Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251, Mayes, S., Murchie, E. H., Karunaratne, A. S., Massawe, F. and Tindall, M. J. (2023) A multiscale mathematical model describing the growth and development of bambara groundnut. Journal of Theoretical Biology, 560. 111373. ISSN 0022-5193 doi: https://doi.org/10.1016/j.jtbi.2022.111373

Tindall, M., Chappell, M. J. and Yates, J. W. T. (2022) The ingredients for an antimicrobial mathematical modelling broth. International Journal of Antimicrobial Agents, 60 (4). 106641. ISSN 0924-8579 doi: https://doi.org/10.1016/j.ijantimicag.2022.106641

Vavouraki, N. ORCID: https://orcid.org/0000-0003-2581-4935, Tomkins, J. E. ORCID: https://orcid.org/0000-0003-3010-6634, Kara, E. ORCID: https://orcid.org/0000-0001-5428-6743, Houlden, H., Hardy, J., Tindall, M. J., Lewis, P. A. ORCID: https://orcid.org/0000-0003-4537-0489 and Manzoni, C. (2021) Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias. iScience, 24 (5). 102484. ISSN 2589-0042 doi: https://doi.org/10.1016/j.isci.2021.102484

Derrick, D. J. A., Wolton, K., Currie, R. A. and Tindall, M. J. (2021) A mathematical model of the role of aggregation in sonic hedgehog signalling. PLoS computational biology, 17 (2). e1008562. ISSN 1553-7358 doi: https://doi.org/10.1371/journal.pcbi.1008562

Mazet, F., Tindall, M. J., Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 and Fry, M. J. (2020) A model of the PI cycle reveals the regulating roles of lipid-binding proteins and pitfalls of using mosaic biological data. Scientific Reports, 10 (1). 13244. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-020-70215-7

Ward, J. P., Franks, S. J., Tindall, M. J., King, J. R., Curtis, A. and Evans, G. S. (2019) Mathematical modelling of contact dermatitis from nickel and chromium. Journal of Mathematical Biology, 79 (2). pp. 595-630. ISSN 0303-6812 doi: https://doi.org/10.1007/s00285-019-01371-2

Stainer, A., Sasikumar, P., Bye, A. ORCID: https://orcid.org/0000-0002-2061-2253, Unsworth, A., Holbrook, L., Tindall, M., Lovegrove, J. ORCID: https://orcid.org/0000-0001-7633-9455 and Gibbins, J. ORCID: https://orcid.org/0000-0002-0372-5352 (2019) Quercetin and its methylated metabolites possess anti-thrombotic properties that interact with aspirin to enhance its anti-platelet effects. TH Open, 3 (3). e244-e258. ISSN 2512-9465 doi: https://doi.org/10.1055/s-0039-1694028

Cucurull-Sanchez, L., Chappell, M. J., Chelliah, V., Amy Cheung, S. Y., Derks, G., Penney, M., Phipps, A., Malik-Sheriff, R. S., Timmis, J., Tindall, M. J., van der Graaf, P. H., Vicini, P. and Yates, J. W. T. (2019) Best practices to maximize the use and reuse of quantitative and systems pharmacology models: recommendations from the United Kingdom quantitative and systems pharmacology network. CPT: Pharmacometrics & Systems Pharmacology, 8 (5). pp. 259-272. ISSN 2163-8306 doi: https://doi.org/10.1002/psp4.12381

Stainer, A. R., Sasikumar, P., Bye, A. P. ORCID: https://orcid.org/0000-0002-2061-2253, Unsworth, A. P., Holbrook, L. M., Tindall, M., Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 and Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 (2019) 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. ISSN 2512-9465 doi: https://doi.org/10.1055/s-0039-1694028

Tindall, M. J. (2018) 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, 26-27. pp. 106-107. ISSN 1571-0645 doi: https://doi.org/10.1016/j.plrev.2018.06.011

Snowden, T. J., van der Graaf, P. H. and Tindall, M. J. (2018) Model reduction in mathematical pharmacology: integration, reduction and linking of PBPK and systems biology models. Journal of Pharmacokinetics and Pharmacodynamics, 45 (4). pp. 537-555. ISSN 1573-8744 doi: https://doi.org/10.1007/s10928-018-9584-y

Pool, F., Currie, R., Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251, Salazar, J. D. and Tindall, M. J. (2018) A mathematical model of the mevalonate cholesterol biosynthesis pathway. Journal of Theoretical Biology, 443. pp. 157-176. ISSN 0022-5193 doi: https://doi.org/10.1016/j.jtbi.2017.12.023

Edgington, M. P. and Tindall, M. J. (2018) Mathematical analysis of the Escherichia coli chemotaxis signalling pathway. Bulletin of Mathematical Biology, 80 (4). pp. 758-787. ISSN 1522-9602 doi: https://doi.org/10.1007/s11538-018-0400-z

Dede, E., Tindall, M. J., Cherrie, J. W., Hankin, S. and Collins, C. (2018) Physiologically-based pharmacokinetic and toxicokinetic models for estimating human exposure to five toxic elements through oral ingestion. Environmental toxicology and pharmacology, 57. pp. 104-114. ISSN 1872-7077 doi: https://doi.org/10.1016/j.etap.2017.12.003

Maldonado, E. M., Fisher, C. P., Mazzatti, D. J., Barber, A. L., Tindall, M. J., Plant, N. J., Kierzek, A. M. and Moore, J. B. (2018) 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. 33. ISSN 2056-7189 doi: https://doi.org/10.1038/s41540-018-0070-3

Pool, F., Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251 and Tindall, M. J. (2018) An integrated mathematical model of cellular cholesterol biosynthesis and lipoprotein metabolism. Processes, 6 (8). 134. ISSN 2227-9717 doi: https://doi.org/10.3390/pr6080134

Snowden, T. J., van der Graaf, P. H. and Tindall, M. J. (2017) Methods of model reduction for large-scale biological systems: a survey of current methods and trends. Bulletin of Mathematical Biology, 79 (7). pp. 1449-1486. ISSN 1522-9602 doi: https://doi.org/10.1007/s11538-017-0277-2

Snowden, T. J., van der Graaf, P. H. and Tindall, M. J. (2017) A combined model reduction algorithm for controlled biochemical systems. BMC Systems Biology, 11 (1). 17. ISSN 1752-0509 doi: https://doi.org/10.1186/s12918-017-0397-1

Mazet, F., Dunster, J. L. ORCID: https://orcid.org/0000-0001-8986-4902, Jones, C. I. ORCID: https://orcid.org/0000-0001-7537-1509, Vaiyapuri, S. ORCID: https://orcid.org/0000-0002-6006-6517, Tindall, M. J., Fry, M. J. and Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 (2015) A high-density immunoblotting methodology for quantification of total protein levels and phosphorylation modifications. Scientific Reports, 5. 16995. ISSN 2045-2322 doi: https://doi.org/10.1038/srep16995

Dunster, J. L. ORCID: https://orcid.org/0000-0001-8986-4902, Mazet, F., Fry, M. J., Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 and Tindall, M. J. (2015) Regulation of early steps of GPVI signal transduction by phosphatases: a systems biology approach. PLoS Computational Biology, 11 (11). e1004589. ISSN 1553-734X doi: https://doi.org/10.1371/journal.pcbi.1004589

Edgington, M. P. and Tindall, M. J. (2015) Understanding the link between single cell and population scale responses of Escherichia coli in differing ligand gradients. Computational and Structural Biotechnology Journal, 13. pp. 528-538. ISSN 2001-0370 doi: https://doi.org/10.1016/j.csbj.2015.09.003

Edgington, M. P. and Tindall, M. J. (2014) Fold-change detection in a whole-pathway model of Escherichia coli chemotaxis. Bulletin of Mathematical Biology, 76 (6). pp. 1376-1395. ISSN 0092-8240 doi: https://doi.org/10.1007/s11538-014-9965-3

Bhattacharya, B. S., Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251, Minihane, A.-M., Jackson, K. G. ORCID: https://orcid.org/0000-0002-0070-3203 and Tindall, M. J. (2014) A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway. Journal of Theoretical Biology, 349. pp. 150-162. ISSN 0022-5193 doi: https://doi.org/10.1016/j.jtbi.2014.01.013

Tindall, M. J. and Clerk, A. ORCID: https://orcid.org/0000-0002-5658-0708 (2014) Modelling negative feedback networks for activating transcription factor 3 predicts a dominant role for miRNAs in immediate early gene regulation. PLoS Computational Biology, 10 (5). e1003597. ISSN 1553-734X doi: https://doi.org/10.1371/journal.pcbi.1003597

Wright, B., Tindall, M. J., Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 and Gibbins, J. M. ORCID: https://orcid.org/0000-0002-0372-5352 (2013) Investigating flavonoids as molecular templates for the design of small-molecule inhibitors of cell signaling. Journal of Food Science, 78 (12). N1921-N1928. ISSN 1750-3841 doi: https://doi.org/10.1111/1750-3841.12293

Lee, T. E., Baines, M. J., Langdon, S. and Tindall, M. J. (2013) A moving mesh approach for modelling avascular tumour growth. Applied Numerical Mathematics, 72. pp. 99-114. ISSN 01689274 doi: https://doi.org/10.1016/j.apnum.2013.06.001

Kojadinovic, M., Armitage, J. P., Tindall, M. J. and Wadhams, G. H. (2013) Response kinetics in the complex chemotaxis signalling pathway of Rhodobacter sphaeroides. Journal of the Royal Society Interface, 10 (81). 20121001. ISSN 1742-5662 doi: https://doi.org/10.1098/rsif.2012.1001

Tindall, M., Gaffney, E. A., Maini, P. K. and Armitage, J. P. (2012) Theoretical insights into bacterial chemotaxis. Wiley interdisciplinary reviews. Systems biology and medicine, 4 (3). pp. 247-259. ISSN 1939-005X doi: https://doi.org/10.1002/wsbm.1168

Tindall, M. J., Dyson, L., Smallbone, K. and Maini, P. K. (2012) Modelling acidosis and the cell cycle in multicellular tumour spheroids. Journal of Theoretical Biology, 298. pp. 107-115. ISSN 0022-5193 doi: https://doi.org/10.1016/j.jtbi.2011.11.009

Giraldo, A., Barrett, O. P. T., Tindall, M. J., Fuller, S. J., Amirak, E., Bhattacharya, B. S., Sugden, P. H. and Clerk, A. ORCID: https://orcid.org/0000-0002-5658-0708 (2012) Feedback regulation by Atf3 in the endothelin-1-responsive transcriptome of cardiomyocytes: Egr1 is a principal Atf3 target. Biochemical Journal, 444 (2). pp. 343-355. ISSN 0264-6021 doi: https://doi.org/10.1042/BJ20120125

Murray, P. J., Edwards, C. M., Tindall, M. J. and Maini, P. K. (2012) Classifying general nonlinear force laws in cell-based models via the continuum limit. Physical Review E, 85 (2). 021921. ISSN 1550-2376 doi: https://doi.org/10.1103/PhysRevE.85.021921

Murray, P. J., Walter, A., Fletcher, A. G., Edwards, C. M., Tindall, M. J. and Maini , P. K. (2011) Comparing a discrete and continuum model of the intestinal crypt. Physical Biology, 8 (2). 026011. ISSN 1478-3975 doi: https://doi.org/10.1088/1478-3975/8/2/026011

Artzrouni, M., Begg, C. B., Chabiniok, R., Clairambault, J., Foss, A., Hargrove, J., Lee, E. K., Siggers, J. S. and Tindall, M. (2011) The first international workshop on the role and impact of mathematics in medicine: a collective account. American Journal of Translational Research, 3 (5). pp. 492-497. ISSN 1943-8141

Tindall, M. J., Porter, S. L., Maini, P. K. and Armitage, J. P. (2010) Modeling chemotaxis reveals the role of reversed phosphotransfer and a bi-functional kinase-phosphatase. PLoS Computational Biology, 6 (8). e1000896. ISSN 1553-734X doi: https://doi.org/10.1371/journal.pcbi.1000896

Murray, P. J., Edwards, C. M., Tindall, M. J. and Maini, P. K. (2009) From a discrete to a continuum model of cell dynamics in one dimension. Physical Review E, 80 (3). p. 10. ISSN 1539-3755 doi: https://doi.org/10.1103/PhysRevE.80.031912

Tindall, M. J., Porter, S. L., Wadhams, G. H., Maini, P. K. and Armitage, J. P. (2009) Spatiotemporal modelling of CheY complexes in Escherichia coli chemotaxis. Progress in Biophysics & Molecular Biology, 100 (1-3). pp. 40-46. ISSN 0079-6107 doi: https://doi.org/10.1016/j.pbiomolbio.2009.06.005

Tindall, M. J., Wattis, J. A. D., O'Malley, B. J., Pickersgill, L. and Jackson, K. G. ORCID: https://orcid.org/0000-0002-0070-3203 (2009) A continuum receptor model of hepatic lipoprotein metabolism. Journal of Theoretical Biology, 257 (3). pp. 371-384. ISSN 0022-5193 doi: https://doi.org/10.1016/j.jtbi.2008.11.016

Tindall, M. J., Maini, P. K., Armitage, J. P., Singleton, C. and Mason, A. (2008) Intracellular signalling during bacterial chemotaxis. SEB Experimental Biology Series, 61 (8). pp. 161-74. ISSN 0081-1386

Tindall, M. J., Please, C. P. and Peddie, M. J. (2008) Modelling the formation of necrotic regions in avascular tumours. Mathematical Biosciences, 211 (1). pp. 34-55. ISSN 0025-5564 doi: https://doi.org/10.1016/j.mbs.2007.09.002

Tindall, M. J., Porter, S. L., Maini, P. K., Gaglia, G. and Armitage, J. P. (2008) Overview of mathematical approaches used to model bacterial chemotaxis I: the single cell. Bullitin of Mathmatical Biology, 70 (6). pp. 1525-69. ISSN 1522-9602 doi: https://doi.org/10.1007/s11538-008-9321-6

Tindall, M. J., Maini, P. K., Porter, S. L. and Armitage, J. P. (2008) Overview of mathematical approaches used to model bacterial chemotaxis II: bacterial populations. Bulletin of Mathmatical Biology, 70 (6). pp. 1570-607. ISSN 1522-9602 doi: https://doi.org/10.1007/s11538-008-9322-5

Tindall, M. J., Peletier, M. A., Severens, N. M., Veldman, D. J. and de Mol, B. A. (2008) Understanding post-operative temperature drop in cardiac surgery: a mathematical model. Mathematical Medicine and Biology, 25 (4). pp. 323-35. ISSN 1477-8602 doi: https://doi.org/10.1093/imammb/dqn022

Franks, S. J., Ward, J. P., Tindall, M. J., King, J. R., Curtis, A. and Evans, G. S. (2008) A mathematical model of the in vitro keratinocyte response to chromium and nickel exposure. Toxicol In Vitro, 22 (4). pp. 1088-93. ISSN 0887-2333 doi: https://doi.org/10.1016/j.tiv.2008.01.018

Conference or Workshop Item

Tindall, M. J. (2012) Mathematics as a tool in the Life Sciences. In: HEA STEM Annual Conference - Biological Sciences Strand, 12-13 April, Imperial College, London.