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Molecular interaction fields in drug discovery: recent advances and future perspectives

, , , , , , , and . Wiley Interdisciplinary Reviews: Computational Molecular Science, 3 (6): 594--613 (2013)
DOI: 10.1002/wcms.1150

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Discovery of Novel Cathepsin S Inhibitors by Pharmacophore-Based Virtual High-Throughput Screening., , , , , , , , , and 2 other author(s). Journal of Chemical Information and Modeling, 48 (8): 1693-1705 (2008)How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information., , , , , , and . Journal of Chemical Information and Modeling, 49 (3): 678-692 (2009)Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection - What can we learn from earlier mistakes?, , , , and . J. Comput. Aided Mol. Des., 22 (3-4): 213-228 (2008)Critical Comparison of Virtual Screening Methods against the MUV Data Set., , , , , , and . Journal of Chemical Information and Modeling, 49 (10): 2168-2178 (2009)GRID-Based Three-Dimensional Pharmacophores II: PharmBench, a Benchmark Data Set for Evaluating Pharmacophore Elucidation Methods., , , , , , , and . J. Chem. Inf. Model., 52 (10): 2599-2608 (2012)Molecular interaction fields in drug discovery: recent advances and future perspectives, , , , , , , and . Wiley Interdisciplinary Reviews: Computational Molecular Science, 3 (6): 594--613 (2013)