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Structure-Based Virtual Screening of MT2 Melatonin Receptor: Influence of Template Choice and Structural Refinement.

, , , , , and . J. Chem. Inf. Model., 53 (4): 821-835 (2013)

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The PERISCOPE Data Atlas: A Demonstration of Release v1.2., , , , , , , , , and 1 other author(s). AIME, volume 13263 of Lecture Notes in Computer Science, page 412-415. Springer, (2022)The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being., , , , , , and . ICOST, volume 12157 of Lecture Notes in Computer Science, page 423-431. Springer, (2020)Design and Optimization of REST Services for Performance and Scalability in Provision of Big Environmental Data to Exploratory Analytics of their Effects on Progression of ALS and MS., , , , , and . ICCE-Berlin, page 1-6. IEEE, (2022)Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages., , , , and . BIBM, page 4382-4388. IEEE, (2023)Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease., , , , and . BIBM, page 2667-2673. IEEE, (2022)Advantages and Difficulties of using Spatial Enablement to Support Public Health in Cities: The PULSE Case Study., , and . GISTAM, page 322-329. SciTePress, (2019)Metadynamics Simulations Distinguish Short- and Long-Residence-Time Inhibitors of Cyclin-Dependent Kinase 8., , , , , , and . Journal of Chemical Information and Modeling, 57 (2): 159-169 (2017)Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review., , , , , , , , , and 15 other author(s). Artif. Intell. Medicine, (August 2023)Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations., , , , , , and . J. Chem. Inf. Model., 63 (9): 2842-2856 (May 2023)Structure-Based Virtual Screening of MT2 Melatonin Receptor: Influence of Template Choice and Structural Refinement., , , , , and . J. Chem. Inf. Model., 53 (4): 821-835 (2013)