Pedro Ballester

Affiliations: 
European Bioinformatics Institute, Hinxton, England, United Kingdom 
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"Pedro Ballester"
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Ziehm M, Kaur S, Ivanov DK, et al. (2017) Drug repurposing for aging research using model organisms. Aging Cell
Li H, Leung KS, Wong MH, et al. (2015) Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest. Molecules (Basel, Switzerland). 20: 10947-62
Silveira L, Guth F, Drews P, et al. (2015) An open-source bio-inspired solution to underwater SLAM Ifac Proceedings Volumes (Ifac-Papersonline). 48: 212-217
Li H, Leung KS, Wong MH, et al. (2015) The impact of docking pose generation error on the prediction of binding affinity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8623: 231-241
Li H, Leung KS, Wong MH, et al. (2015) The importance of the regression model in the structure-based prediction of protein-ligand binding Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8623: 219-230
Ain QU, Aleksandrova A, Roessler FD, et al. (2015) Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening Wiley Interdisciplinary Reviews: Computational Molecular Science. 5: 405-424
Li H, Leung KS, Wong MH, et al. (2015) Improving autodock vina using random forest: The growing accuracy of binding affinity prediction by the effective exploitation of larger data sets Molecular Informatics. 34: 115-126
Li H, Leung KS, Wong MH, et al. (2015) The use of random forest to predict binding affinity in docking Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9044: 238-247
Li H, Leung KS, Wong MH, et al. (2014) Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study. Bmc Bioinformatics. 15: 291
Hoeger B, Diether M, Ballester PJ, et al. (2014) Biochemical evaluation of virtual screening methods reveals a cell-active inhibitor of the cancer-promoting phosphatases of regenerating liver. European Journal of Medicinal Chemistry. 88: 89-100
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