| DeepSynergy: predicting anti-cancer drug synergy with Deep Learning K Preuer, RPI Lewis, S Hochreiter, A Bender, KC Bulusu, G Klambauer Bioinformatics 34 (9), 1538-1546, 2018 | 416 | 2018 |
| Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives KC Bulusu, R Guha, DJ Mason, RPI Lewis, E Muratov, YK Motamedi, ... Drug discovery today 21 (2), 225-238, 2016 | 192 | 2016 |
| Target prediction utilising negative bioactivity data covering large chemical space LH Mervin, AM Afzal, G Drakakis, R Lewis, O Engkvist, A Bender Journal of cheminformatics 7, 1-16, 2015 | 129 | 2015 |
| Using machine learning to predict synergistic antimalarial compound combinations with novel structures DJ Mason, RT Eastman, RPI Lewis, IP Stott, R Guha, A Bender Frontiers in Pharmacology 9, 1096, 2018 | 35 | 2018 |
| Synergy maps: exploring compound combinations using network-based visualization R Lewis, R Guha, T Korcsmaros, A Bender Journal of cheminformatics 7, 1-11, 2015 | 34 | 2015 |
| Design, synthesis and biological profile of mixed opioid agonist/N-VGCC blocker peptides A Stefanucci, E Novellino, G Macedonio, MP Dimmito, S Mirzaie, ... New Journal of Chemistry 42 (8), 5656-5659, 2018 | 6 | 2018 |
| A contribution for a better understanding of the automotive friction material characteristics connected to problems deriving from disc-scoring phenomena P Durando, P Buonfico, O Sellari, F Vannucci, R Lewis, L Battezzati, ... SAE transactions, 3070-3077, 2005 | 5 | 2005 |
| The English Sports Council Grant in Aid and National Lottery Distribution Fund Annual Report and Accounts 2010-2011 S England, G Britain, R Lewis, J Price Stationery Office, 2011 | 3 | 2011 |
| Interactive computer graphics J McKenzie, L Elton, R Lewis New York: Hastlestead Press, 1978 | 3 | 1978 |
| Characterizing ABC-transporter substrate-likeness using a clean-slate genetic background A Sokolov, S Ashenden, N Sahin, R Lewis, N Erdem, E Ozaltan, A Bender, ... Frontiers in Pharmacology 10, 448, 2019 | 2 | 2019 |
| Correction: Competitor analysis of functional group H-bond donor and acceptor properties using the Cambridge Structural Database J McKenzie, RPI Lewis, CA Hunter Physical Chemistry Chemical Physics 21 (11), 6296-6296, 2019 | 2 | 2019 |
| Binder-Free Friction Linings, Process for Their Production and Their Use R Lewis, P Perin US Patent App. 18/299,234, 2023 | | 2023 |
| Binder-free Friction Linings, Process for Their Production, And Their Use R Lewis, P Perin US Patent App. 16/815,489, 2020 | | 2020 |
| Publication Supplement K Preuer, RPI Lewis, S Hochreiter, A Bender, KC Bulusu, G Klambauer Deep Learning in Drug Discovery, 44, 2019 | | 2019 |
| Method and device for the thermal treatment of friction linings K Goldbach, T Hueber, R Lewis, P Perin US Patent 10,137,609, 2018 | | 2018 |
| Artificial intelligence for predicting molecular electrostatic potentials (ESPs): A step towards developing ESP-guided knowledge-based scoring functions M Verdonk, R Lewis, A Bender, P Rathi ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |
| Development of latent friction ridge prints N Rice, J Bond, K Byrne, J Price, C King, R Lewis US Patent 9,718,294, 2017 | | 2017 |
Andreas BenderProfessor Molecular Informatics Cambridge; CITO Pangea Bio; Researcher Universitatea Babeș-BolyaiVerified email at cam.ac.uk
