Pedro Ballester
Pedro Ballester
Group Leader at the Cancer Research Center of Marseille (CRCM)
Verified email at inserm.fr - Homepage
TitleCited byYear
A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking
PJ Ballester, JBO Mitchell
Bioinformatics 26 (9), 1169-1175, 2010
2912010
Ultrafast shape recognition to search compound databases for similar molecular shapes
PJ Ballester, WG Richards
Journal of computational chemistry 28 (10), 1711-1723, 2007
2582007
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
MP Menden, F Iorio, M Garnett, U McDermott, CH Benes, PJ Ballester, ...
PLoS one 8 (4), e61318, 2013
2082013
Machine‐learning scoring functions to improve structure‐based binding affinity prediction and virtual screening
QU Ain, A Aleksandrova, FD Roessler, PJ Ballester
Wiley Interdisciplinary Reviews: Computational Molecular Science 5 (6), 405-424, 2015
932015
An effective real-parameter genetic algorithm with parent centric normal crossover for multimodal optimisation
PJ Ballester, JN Carter
Genetic and Evolutionary Computation Conference, 901-913, 2004
902004
Ultrafast shape recognition for similarity search in molecular databases
PJ Ballester, WG Richards
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2007
812007
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
772017
Does a more precise chemical description of protein–ligand complexes lead to more accurate prediction of binding affinity?
PJ Ballester, A Schreyer, TL Blundell
Journal of chemical information and modeling 54 (3), 944-955, 2014
772014
Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX
PJ Ballester, J Stephenson, JN Carter, K Gallagher
2005 IEEE Congress on Evolutionary Computation 1, 498-505, 2005
762005
Prospective virtual screening with Ultrafast Shape Recognition: the identification of novel inhibitors of arylamine N-acetyltransferases
PJ Ballester, I Westwood, N Laurieri, E Sim, WG Richards
Journal of The Royal Society Interface 7 (43), 335-342, 2009
752009
Ultrafast shape recognition: evaluating a new ligand-based virtual screening technology
PJ Ballester, PW Finn, WG Richards
Journal of Molecular Graphics and Modelling 27 (7), 836-845, 2009
702009
Improving AutoDock Vina using random forest: the growing accuracy of binding affinity prediction by the effective exploitation of larger data sets
H Li, KS Leung, MH Wong, PJ Ballester
Molecular informatics 34 (2‐3), 115-126, 2015
622015
Real-parameter genetic algorithms for finding multiple optimal solutions in multi-modal optimization
PJ Ballester, JN Carter
Genetic and Evolutionary Computation Conference, 706-717, 2003
582003
Our calibrated model has poor predictive value: An example from the petroleum industry
JN Carter, PJ Ballester, Z Tavassoli, PR King
Reliability Engineering & System Safety 91 (10-11), 1373-1381, 2006
572006
istar: A web platform for large-scale protein-ligand docking
H Li, KS Leung, PJ Ballester, MH Wong
PLoS One 9 (1), e85678, 2014
552014
Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification
PJ Ballester, M Mangold, NI Howard, RLM Robinson, C Abell, ...
Journal of The Royal Society Interface 9 (77), 3196-3207, 2012
552012
Performance of machine-learning scoring functions in structure-based virtual screening
M Wójcikowski, PJ Ballester, P Siedlecki
Scientific reports 7, 46710, 2017
512017
A parallel real-coded genetic algorithm for history matching and its application to a real petroleum reservoir
PJ Ballester, JN Carter
Journal of Petroleum Science and Engineering 59 (3-4), 157-168, 2007
512007
Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study
H Li, KS Leung, MH Wong, PJ Ballester
BMC bioinformatics 15 (1), 291, 2014
462014
Ultrafast shape recognition: method and applications
PJ Ballester
Future Medicinal Chemistry 3 (1), 65-78, 2011
402011
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Articles 1–20