Leach, Andrew R.
European Bioinformatics Institute
7 papers on CoChatORCID 0000-0001-8178-0253
Most cited papers
- Verified
Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen
Jones, G., Willett, P., Glen, R. C., Leach, A. R., & Taylor, R. (1997) · Journal of Molecular Biology
Computational Drug Discovery MethodsProtein Structure and Dynamics
Cited by 6,763
- Verified
ChEMBL: towards direct deposition of bioassay data
Mendez, D., Gaulton, A., Bento, A. P., Chambers, J., De Veij, M., Félix, E., Magariños, M. P., Mosquera, J. F., Mutowo, P., Nowotka, M., et al. (2019) · Nucleic Acids Research
Computational Drug Discovery MethodsResearch Data Management Practices
Cited by 2,372
- Verified
An analysis of the attrition of drug candidates from four major pharmaceutical companies
Waring, M. J., Arrowsmith, J., Leach, A. R., Leeson, P. D., Mandrell, S., Owen, R. M., Pairaudeau, G., Pennie, W. D., Pickett, S. D., Wang, J., et al. (2015) · Nature Reviews Drug Discovery
Computational Drug Discovery MethodsPharmaceutical studies and practices
Cited by 1,450
- Verified
Unexplored therapeutic opportunities in the human genome
Oprea, T. I., Bologa, C. G., Brunak, S., Campbell, A., Gan, G. N., Gaulton, A., Gomez, S. M., Guha, R., Hersey, A., Holmes, J., et al. (2018) · Nature Reviews Drug Discovery
Computational Drug Discovery MethodsBioinformatics and Genomic Networks
Cited by 378
- Verified
The PROTACtable genome
Schneider, M., Radoux, C. J., Hercules, A., Ochoa, D., Dunham, I., Zalmas, L.-P., Hessler, G., Ruf, S., Shanmugasundaram, V., Hann, M. M., et al. (2021) · Nature Reviews Drug Discovery
Protein Degradation and InhibitorsComputational Drug Discovery Methods
Cited by 273
- Verified
CACHE (Critical Assessment of Computational Hit-finding Experiments): A public–private partnership benchmarking initiative to enable the development of computational methods for hit-finding
Ackloo, S., Al-awar, R., Amaro, R. E., Arrowsmith, C. H., Azevedo, H., Batey, R. A., Bengio, Y., Betz, U. A. K., Bologa, C. G., Chodera, J. D., et al. (2022) · Nature Reviews Chemistry
Computational Drug Discovery MethodsProtein Degradation and Inhibitors
Cited by 112
- Verified
RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli
Tankhilevich, E., Martinez Cuesta, S., Barrett, I., Berg, C., Holmberg Schiavone, L., & Leach, A. R. (2025) · Bioinformatics
Machine Learning in BioinformaticsMicrobial Metabolic Engineering and Bioproduction
Cited by 9
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