Generic coarse-grained model for protein folding and aggregation T Bereau, M Deserno Biophysical Journal 96 (3), 405a, 2009 | 234 | 2009 |
Non-covalent interactions across organic and biological subsets of chemical space: Physics-based potentials parametrized from machine learning T Bereau, RA DiStasio, A Tkatchenko, OA Von Lilienfeld The Journal of chemical physics 148 (24), 2018 | 179 | 2018 |
Designing exceptional gas-separation polymer membranes using machine learning JW Barnett, CR Bilchak, Y Wang, BC Benicewicz, LA Murdock, T Bereau, ... Science advances 6 (20), eaaz4301, 2020 | 170 | 2020 |
Automated parametrization of the coarse-grained Martini force field for small organic molecules T Bereau, K Kremer Journal of chemical theory and computation 11 (6), 2783-2791, 2015 | 148 | 2015 |
FAIR data enabling new horizons for materials research M Scheffler, M Aeschlimann, M Albrecht, T Bereau, HJ Bungartz, C Felser, ... Nature 604 (7907), 635-642, 2022 | 124 | 2022 |
Transferable atomic multipole machine learning models for small organic molecules T Bereau, D Andrienko, OA von Lilienfeld Journal of Chemical Theory and Computation 11 (7), 3225-3233, 2015 | 117 | 2015 |
Drug–Membrane Permeability across Chemical Space R Menichetti, KH Kanekal, T Bereau ACS Central Science 5 (2), 290-298, 2019 | 86 | 2019 |
Leveraging symmetries of static atomic multipole electrostatics in molecular dynamics simulations T Bereau, C Kramer, M Meuwly Journal of Chemical Theory and Computation 9 (12), 5450-5459, 2013 | 61 | 2013 |
Kernel-based machine learning for efficient simulations of molecular liquids C Scherer, R Scheid, D Andrienko, T Bereau Journal of chemical theory and computation 16 (5), 3194-3204, 2020 | 59 | 2020 |
Interplay between secondary and tertiary structure formation in protein folding cooperativity T Bereau, M Bachmann, M Deserno Journal of the American Chemical Society 132 (38), 13129-13131, 2010 | 56 | 2010 |
Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders YB Varolgüneş, T Bereau, JF Rudzinski Machine Learning: Science and Technology 1 (1), 015012, 2020 | 51 | 2020 |
Engineering proteins at interfaces: from complementary characterization to material surfaces with designed functions S Morsbach, G Gonella, V Mailänder, S Wegner, S Wu, T Weidner, ... Angewandte Chemie International Edition 57 (39), 12626-12648, 2018 | 50 | 2018 |
More than the sum of its parts: Coarse-grained peptide-lipid interactions from a simple cross-parametrization T Bereau, ZJ Wang, M Deserno The Journal of chemical physics 140 (11), 2014 | 49 | 2014 |
Folding and insertion thermodynamics of the transmembrane WALP peptide T Bereau, WF Bennett, J Pfaendtner, M Deserno, M Karttunen The Journal of Chemical Physics 143 (24), 2015 | 48 | 2015 |
Optimized convergence for multiple histogram analysis T Bereau, RH Swendsen Journal of Computational Physics 228 (17), 6119-6129, 2009 | 47 | 2009 |
In silico screening of drug-membrane thermodynamics reveals linear relations between bulk partitioning and the potential of mean force R Menichetti, KH Kanekal, K Kremer, T Bereau The Journal of Chemical Physics 147 (12), 125101, 2017 | 41 | 2017 |
Research Update: Computational materials discovery in soft matter T Bereau, D Andrienko, K Kremer APL Materials 4 (5), 2016 | 40 | 2016 |
Structural Basis of Folding Cooperativity in Model Proteins: Insights from a Microcanonical Perspective T Bereau, M Deserno, M Bachmann Biophysical Journal 100 (11), 2764-2772, 2011 | 37 | 2011 |
Communication: Consistent interpretation of molecular simulation kinetics using Markov state models biased with external information JF Rudzinski, K Kremer, T Bereau The Journal of Chemical Physics 144 (5), 2016 | 36 | 2016 |
Adversarial reverse mapping of equilibrated condensed-phase molecular structures M Stieffenhofer, M Wand, T Bereau Machine Learning: Science and Technology 1 (4), 045014, 2020 | 32 | 2020 |