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Impact of Template Choice on Homology Model Efficiency in Virtual Screening.

, , , , and . J. Chem. Inf. Model., 54 (6): 1661-1668 (2014)

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Multiple conformational states in retrospective virtual screening - homology models vs. crystal structures: beta-2 adrenergic receptor case study., , , , and . J. Cheminformatics, (2015)Impact of Template Choice on Homology Model Efficiency in Virtual Screening., , , , and . J. Chem. Inf. Model., 54 (6): 1661-1668 (2014)Correction to Kinetic Models of Cyclosporin A in Polar and Apolar Environments Reveal Multiple Congruent Conformational States., , , , , and . J. Chem. Inf. Model., 57 (9): 2393 (September 2017)Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods - A Case Study of Serotonin Receptors 5-HT6 and 5-HT7., , , , , and . Journal of Chemical Information and Modeling, 55 (4): 823-832 (2015)Kinetic Models of Cyclosporin A in Polar and Apolar Environments Reveal Multiple Congruent Conformational States., , , , , and . Journal of Chemical Information and Modeling, 56 (8): 1547-1562 (2016)The importance of template choice in homology modeling. A 5-HT6R case study., , , , and . J. Cheminformatics, 5 (S-1): 8 (2013)Improving Conformer Generation for Small Rings and Macrocycles Based on Distance Geometry and Experimental Torsional-Angle Preferences., , , and . J. Chem. Inf. Model., 60 (4): 2044-2058 (2020)Rationalization of the Membrane Permeability Differences in a Series of Analogue Cyclic Decapeptides., , , , , , , , , and 1 other author(s). J. Chem. Inf. Model., 59 (1): 294-308 (2019)Application of Structural Interaction Fingerpints (SIFts) into post-docking analysis - insight into activity and selectivity., , , , , and . J. Cheminformatics, 5 (S-1): 28 (2013)