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About speaker
| David J. Livingstone (ChemQuest, United Kingdom) |
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David Livingstone is a chemist with a special interest in physical organic chemistry. He first became involved in QSAR when he started research. His Ph.D. project involved the measurement of charge-transfer complex formation constants to use as a substituent constant [1]. His Ph.D. was funded by the Wellcome foundation and involved visits to the Wellcome labs in Beckenham where he started work in 1977. The first project he was involved with was the search for compounds that would promote the release of oxygen from haemoglobin [2] and this led to patents for their use in blood storage [3] although unfortunately it never made the market. While at Wellcome he set up logP measurements [4] and became interested in alternatives to building QSAR models using substituent constants and regression analysis [5]. He used to work with many medicinal chemists but didn’t appreciate the significance of one project with Dave Selwood which led to a paper that constantly reminds me of those times [6].
In 1989 he moved to SmithKline Beecham to run a small computational chemistry group. Once again they started to use molecular modelling tools in QSAR [7] and, having already met artificial neural networks [8], he started to investigate their apparently magical properties in fitting data [9]. At this time SB had several research sites in the UK and he found himself travelling to the other sites to help the chemists to do QSAR. He was often asked to recommend a book, which of course he couldn’t, so in the end he wrote one himself [10].
In 1995 he left SmithKline Beecham to work for himself as a consultant (http://www.chemquest.uk.com) and also became a visiting professor at the Centre for Molecular Design at the University of Portsmouth (http://www.cmd.port.ac.uk). He continues to work in all areas of QSAR and computational chemistry and in recent times things have come full circle as he’s been looking at the effect of selection bias on the significance of multiple linear regression models [11]. There is more to life than work, of course, and in his free time he likes to scatter golf balls around the countryside (http://www.ssgolfclub.co.uk), watch classic car racing and occasionally drive a racing mini on track days at race tracks such as Brands Hatch, Snetterton and Goodwood.
[1] "Further Study of an Organic Electron-Donor-Acceptor Related Substituent Constant". D.J. Livingstone, R.M. Hyde and R. Foster, Eur. J. Med. Chem., 14, 393-397 (1979).
[2] "Modification of the Haemoglobin Oxygen Dissociation Curve in Whole Blood by a Compound with Dual Action". R.M. Hyde, D.J. Livingstone, R.A. Paterson, J.F. Batchelor and W.R. King, Lancet, II, 15-16 (1984).
[3] "Xanthone Additives for Blood Storage that Maintain its Potential for Oxygen Delivery". R.A. Paterson, J. Dawson, R.M. Hyde, D.J. Livingstone, E. Parry, S. Nash and I.M. Boyce, Transfusion, 28, (1), 34-37 (1988).
[4] "Principles of Method Selection in Partition Studies". A. Hersey, A.P. Hill, R.M. Hyde and D.J. Livingstone, Quant. Struct.-Act. Relat., 8, 288-296 (1989).
[5] "Perspectives in QSAR: Computer Chemistry and Pattern Recognition". R.M. Hyde and D.J. Livingstone, J. Comp.-Aid .Mol. Design, 2 (2), 145-157 (1988).
[6] "Structure-Activity Relationships of Antifilarial Antimycin Analogues, a Multivariate Pattern Recognition Study". J.C.W. Comley, A.B. O'Dowd, A.T. Hudson, P. Jackson, K.S. Jandu, D.J. Livingstone, V.S. Rose, D.L. Selwood and J.N. Stables, J. Med. Chem., 33, 136-142 (1990).
[7] "Investigation of a Charge-Transfer Substituent Constant using Computer Chemistry and Pattern recognition Techniques", D.J. Livingstone, D.A Evans and M.R. Saunders, J. Chem. Soc. Perkin II, 1545-50 (1992).
[8] "Novel Method for the Display of Multivariate Data using Neural Networks". D.J. Livingstone, G. Hesketh and D. Clayworth, J. Mol. Graph., 9, 31-34 (1991).
[9] "Statistics Using Neural Networks: Chance Effects". D.J. Livingstone and D.T. Manallack, J. Med. Chem., 36, 1295-1297 (1993).
[10] "Data Analysis for Chemists: Application to QSAR and Chemical Product Design", D.J. Livingstone, Oxford University Press, 1995, ISBN 0 19 855728 0.
[11] “Judging the Significance of Multiple Linear Regression Models”, D.J. Livingstone and D.W. Salt, J. Med. Chem., 48, 661-3 (2005). |
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