Christin Rakers

Affiliations: 
2016-2017 Institute of Transformative Bio-Molecules (ITbM) Nagoya University, Nagoya-shi, Aichi-ken, Japan 
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"Christin Rakers"
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Parents

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Stephan Irle post-doc 2016-2017 Nagoya University
 (JSPS Postdoctoral Fellow)
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Publications

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Polash AH, Nakano T, Rakers C, et al. (2020) Active learning efficiently converges on rational limits of toxicity prediction and identifies patterns for molecule design Computational Toxicology. 15: 100129
Uraguchi D, Kuwata K, Hijikata Y, et al. (2018) A femtomolar-range suicide germination stimulant for the parasitic plant . Science (New York, N.Y.). 362: 1301-1305
Rakers C, Najnin RA, Polash AH, et al. (2017) Chemogenomic active learning's domain of applicability on small, sparse qHTS matrices: a study using CYP450 and nuclear hormone receptor families. Chemmedchem
Murgueitio MS, Rakers C, Frank A, et al. (2016) Balancing Inflammation: Computational Design of Small-Molecule Toll-like Receptor Modulators. Trends in Pharmacological Sciences
Rakers C, Schumacher F, Meinl W, et al. (2016) In Silico Prediction of Human Sulfotransferase 1E1 Activity Guided by Pharmacophores from Molecular Dynamics Simulations. The Journal of Biological Chemistry. 291: 58-71
Bermudez M, Rakers C, Wolber G. (2015) Structural Characteristics of the Allosteric Binding Site Represent a Key to Subtype Selective Modulators of Muscarinic Acetylcholine Receptors. Molecular Informatics. 34: 526-30
Mortier J, Rakers C, Bermudez M, et al. (2015) The impact of molecular dynamics on drug design: applications for the characterization of ligand-macromolecule complexes. Drug Discovery Today. 20: 686-702
Rakers C, Bermudez M, Keller BG, et al. (2015) Computational close up on protein-protein interactions: How to unravel the invisible using molecular dynamics simulations? Wiley Interdisciplinary Reviews: Computational Molecular Science. 5: 345-359
Rakers C, Wolber G. (2014) Combining pharmacophore- and MD-based modelling for phase II metabolism prediction. Journal of Cheminformatics. 6: O15
Mortier J, Rakers C, Frederick R, et al. (2012) Computational tools for in silico fragment-based drug design. Current Topics in Medicinal Chemistry. 12: 1935-43
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