|Stable, soluble T‐cell receptor molecules for crystallization and therapeutics|
JM Boulter, M Glick, PT Todorov, E Baston, M Sami, P Rizkallah, ...
Protein engineering 16 (9), 707-711, 2003
|Analysis of pharmacology data and the prediction of adverse drug reactions and off‐target effects from chemical structure|
A Bender, J Scheiber, M Glick, JW Davies, K Azzaoui, J Hamon, L Urban, ...
ChemMedChem: Chemistry Enabling Drug Discovery 2 (6), 861-873, 2007
|How similar are similarity searching methods? A principal component analysis of molecular descriptor space|
A Bender, JL Jenkins, J Scheiber, SCK Sukuru, M Glick, JW Davies
Journal of chemical information and modeling 49 (1), 108-119, 2009
|From in silico target prediction to multi-target drug design: Current databases, methods and applications|
A Koutsoukas, B Simms, J Kirchmair, PJ Bond, AV Whitmore, S Zimmer, ...
Journal of proteomics 74 (12), 2554-2574, 2011
|Prediction of biological targets for compounds using multiple-category Bayesian models trained on chemogenomics databases|
Nidhi,†, M Glick, JW Davies, JL Jenkins
Journal of chemical information and modeling 46 (3), 1124-1133, 2006
|Bridging chemical and biological space:“target fishing” using 2D and 3D molecular descriptors|
JH Nettles, JL Jenkins, A Bender, Z Deng, JW Davies, M Glick
Journal of medicinal chemistry 49 (23), 6802-6810, 2006
|Interaction between the CD8 coreceptor and major histocompatibility complex class I stabilizes T cell receptor-antigen complexes at the cell surface|
L Wooldridge, HA van den Berg, M Glick, E Gostick, B Laugel, ...
Journal of Biological Chemistry 280 (30), 27491-27501, 2005
|Mapping adverse drug reactions in chemical space|
J Scheiber, JL Jenkins, SCK Sukuru, A Bender, D Mikhailov, M Milik, ...
Journal of medicinal chemistry 52 (9), 3103-3107, 2009
|Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis|
J Scheiber, B Chen, M Milik, SCK Sukuru, A Bender, D Mikhailov, ...
Journal of chemical information and modeling 49 (2), 308-317, 2009
|A 3D similarity method for scaffold hopping from known drugs or natural ligands to new chemotypes|
JL Jenkins, M Glick, JW Davies
Journal of medicinal chemistry 47 (25), 6144-6159, 2004
|Rethinking molecular similarity: comparing compounds on the basis of biological activity|
PM Petrone, B Simms, F Nigsch, E Lounkine, P Kutchukian, A Cornett, ...
ACS chemical biology 7 (8), 1399-1409, 2012
|Enrichment of high-throughput screening data with increasing levels of noise using support vector machines, recursive partitioning, and laplacian-modified naive bayesian …|
M Glick, JL Jenkins, JH Nettles, H Hitchings, JW Davies
Journal of chemical information and modeling 46 (1), 193-200, 2006
|Streamlining lead discovery by aligning in silico and high-throughput screening|
JW Davies, M Glick, JL Jenkins
Current opinion in chemical biology 10 (4), 343-351, 2006
|“Bayes affinity fingerprints” improve retrieval rates in virtual screening and define orthogonal bioactivity space: when are multitarget drugs a feasible concept?|
A Bender, JL Jenkins, M Glick, Z Deng, JH Nettles, JW Davies
Journal of chemical information and modeling 46 (6), 2445-2456, 2006
|Finding more needles in the haystack: A simple and efficient method for improving high-throughput docking results|
AE Klon, M Glick, M Thoma, P Acklin, JW Davies
Journal of medicinal chemistry 47 (11), 2743-2749, 2004
|Dark chemical matter as a promising starting point for drug lead discovery|
AM Wassermann, E Lounkine, D Hoepfner, G Le Goff, FJ King, C Studer, ...
Nature chemical biology 11 (12), 958, 2015
|The CD8 T cell coreceptor exhibits disproportionate biological activity at extremely low binding affinities|
SL Hutchinson, L Wooldridge, S Tafuro, B Laugel, M Glick, JM Boulter, ...
Journal of Biological Chemistry 278 (27), 24285-24293, 2003
|Enrichment of extremely noisy high-throughput screening data using a naive Bayes classifier|
M Glick, AE Klon, P Acklin, JW Davies
Journal of biomolecular screening 9 (1), 32-36, 2004
|Combination of a naive Bayes classifier with consensus scoring improves enrichment of high-throughput docking results|
AE Klon, M Glick, JW Davies
Journal of medicinal chemistry 47 (18), 4356-4359, 2004
|Plate-based diversity selection based on empirical HTS data to enhance the number of hits and their chemical diversity|
SCK Sukuru, JL Jenkins, REJ Beckwith, J Scheiber, A Bender, ...
Journal of biomolecular screening 14 (6), 690-699, 2009