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Philip N. Judson
Researcher at University of Leeds
Publications - 42
Citations - 1379
Philip N. Judson is an academic researcher from University of Leeds. The author has contributed to research in topics: Risk assessment & Retrosynthetic analysis. The author has an hindex of 18, co-authored 42 publications receiving 1231 citations.
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Journal ArticleDOI
Knowledge-Based Expert Systems for Toxicity and Metabolism Prediction: DEREK, StAR and METEOR
TL;DR: The number of correctly identified mutagens and the predictions compared to their Salmonella typhimurium mutagenicity data has increased and work on improving the predictive capabilities of DEREK, StAR and METEOR is in progress.
Journal ArticleDOI
Computer prediction of possible toxic action from chemical structure: an update on the DEREK system
J.E. Ridings,M.D. Barratt,R. Cary,C.G. Earnshaw,C.E. Eggington,M.K. Ellis,Philip N. Judson,J.J. Langowski,Carol A. Marchant,M.P. Payne,William P. Watson,T.D. Yih +11 more
TL;DR: Computer-based assessment of potential toxicity has become increasingly popular in recent years and DEREK's predictive capabilities for these toxicological end-points has been demonstrated and work is in progress to develop further DEREk's ability to report the reasoning behind its predictions.
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In silico drug metabolism and pharmacokinetic profiles of natural products from medicinal plants in the Congo basin
Fidele Ntie-Kang,Fidele Ntie-Kang,Fidele Ntie-Kang,Lydia L. Lifongo,James A. Mbah,Luc C Owono Owono,Eugene Megnassan,Luc Meva'a Mbaze,Philip N. Judson,Wolfgang Sippl,Simon M. N. Efange +10 more
TL;DR: In addition to the verified levels of “drug-likeness”, diversity and the wide range of measured biological activities, the compounds from medicinal plants in Central Africa show interesting DMPK profiles and hence could represent an important starting point for hit/lead discovery.
Journal ArticleDOI
Using absolute and relative reasoning in the prediction of the potential metabolism of xenobiotics.
TL;DR: This paper describes the combined use of two models for reasoning under uncertainty in a working system, METEOR-one model deals with absolute reasoning and the second with relative reasoning.
Journal ArticleDOI
Predicting Drug Metabolism – An Evaluation of the Expert System METEOR
TL;DR: An evaluation of METEOR, a rule‐based expert system used to predict the metabolism of drugs and other xenobiotics, is reported, illustrating the interest of such an evaluation in identifying where and how predictive rules can be improved.