| Mining housekeeping genes with a Naive Bayes classifier L De Ferrari, S Aitken BMC genomics 7, 1-14, 2006 | 100 | 2006 |
| Uniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike molecules JL McDonagh, N Nath, L De Ferrari, T Van Mourik, JBO Mitchell Journal of chemical information and modeling 54 (3), 844-856, 2014 | 98 | 2014 |
| EnzML: multi-label prediction of enzyme classes using InterPro signatures L De Ferrari, S Aitken, J van Hemert, I Goryanin BMC bioinformatics 13, 1-12, 2012 | 58 | 2012 |
| Enzyme informatics R G Alderson, L De Ferrari, L Mavridis, J L McDonagh, J BO Mitchell, ... Current topics in medicinal chemistry 12 (17), 1911-1923, 2012 | 37 | 2012 |
| From sequence to enzyme mechanism using multi-label machine learning L De Ferrari, JBO Mitchell BMC bioinformatics 15, 1-13, 2014 | 32 | 2014 |
| Epigenetics of osteoarticular diseases: recent developments SB Roberts, E Wootton, L De Ferrari, OM Albagha, DM Salter Rheumatology international 35, 1293-1305, 2015 | 29 | 2015 |
| WikiSim: simulating knowledge collection and curation in structured wikis L De Ferrari, S Aitken, J van Hemert, I Goryanin Proceedings of the 4th International Symposium on Wikis, 1-2, 2008 | 6 | 2008 |
| Why do sequence signatures predict enzyme mechanism? Homology versus chemistry KE Beattie, L De Ferrari, JBO Mitchell Evolutionary Bioinformatics 11, EBO. S31482, 2015 | 5 | 2015 |
| Multi-label prediction of enzyme classes using InterPro signatures L De Ferrari, S Aitken, J Van Hemert, I Goryanin Mach Learn Syst Biol 123, 1-20, 2010 | 5 | 2010 |
| Effectiveness of holistic assessment–based interventions in improving outcomes in adults with multiple long-term conditions and/or frailty: an umbrella review protocol S Arakelyan, N Lone, A Anand, N Mikula-Noble, MJ Lyall, L De Ferrari, ... JBI evidence synthesis 21 (9), 1863-1878, 2023 | 3 | 2023 |
| A model of social collaboration in Molecular Biology knowledge bases L De Ferrari, S Aitken, J van Hemert, I Goryanin Pathways 2009, 2007 | 3 | 2007 |
| TaWeka: From biological web services to data mining L De Ferrari, I Goryanin poster presented at the 15th Annual International Conference on Intelligent …, 2007 | 2 | 2007 |
| Enzyme mechanism prediction: a template matching problem on InterPro signature subspaces HY Mussa, L De Ferrari, JBO Mitchell BMC Research Notes 8, 1-4, 2015 | 1 | 2015 |
| Enzyme informatics J Mcdonagh, RG Alderson, L De Ferrari, L Mavridis, JL McDonagh, ... Curr Top Med Chem 12 (17), 1911-23, 2012 | 1 | 2012 |
| On combining collaborative and automated curation for enzyme function prediction L De Ferrari The University of Edinburgh, 2012 | | 2012 |
| Combining collaborative and automated curation for Molecular Biology L De Ferrari | | 2011 |
| 1: Combining collaborative and automated curation of biological function Title 2: Can we annotate all genomes? L De Ferrari | | 2010 |
| Additional File L De Ferrari, S Aitken, J van Hemert, I Goryanin | | |
| This graph represents as red squares the proteins predicted as false positive when training on the mechanism dataset and testing on the negative set (using InterPro attributes … L De Ferrari, J Mitchell | | |
John MitchellReader in Chemistry, University of St AndrewsVerified email at st-andrews.ac.uk
