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Let's get honest about sampling.. J. Comput. Aided Mol. Des., 26 (1): 93-95 (2012)Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge., , , , , , , , and . J. Comput. Aided Mol. Des., 35 (7): 771-802 (2021)Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4., , , , , , , , , and . J. Comput. Aided Mol. Des., 33 (12): 1011-1020 (2019)Overview of the SAMPL6 host-guest binding affinity prediction challenge., , , , , , , , , and 1 other author(s). J. Comput. Aided Mol. Des., 32 (10): 937-963 (2018)Predicting binding free energies: frontiers and benchmarks, and . Annual review of biophysics, (2017)Erratum to: Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset., , , , , , , and . J. Comput. Aided Mol. Des., 31 (8): 777 (2017)Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field, , , , , , , , , and 19 other author(s). Journal of the American Chemical Society, (2015)A proposal for regularly updated review/survey articles: "Perpetual Reviews"., and . CoRR, (2015)Overview of the SAMPL6 pKa challenge: evaluating small molecule microscopic and macroscopic pKa predictions., , , , , and . J. Comput. Aided Mol. Des., 35 (2): 131-166 (2021)SAMPL7 protein-ligand challenge: A community-wide evaluation of computational methods against fragment screening and pose-prediction., , , , , , and . J. Comput. Aided Mol. Des., 36 (4): 291-311 (2022)