Roberto Menichetti
Title
Cited by
Cited by
Year
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
292017
Drug–membrane permeability across chemical space
R Menichetti, KH Kanekal, T Bereau
ACS central science 5 (2), 290-298, 2019
192019
Efficient potential of mean force calculation from multiscale simulations: solute insertion in a lipid membrane
R Menichetti, K Kremer, T Bereau
Biochemical and biophysical research communications 498 (2), 282-287, 2018
122018
Controlled exploration of chemical space by machine learning of coarse-grained representations
C Hoffmann, R Menichetti, KH Kanekal, T Bereau
Physical Review E 100 (3), 033302, 2019
82019
Coarse-graining polymer solutions: A critical appraisal of single-and multi-site models
G D’Adamo, R Menichetti, A Pelissetto, C Pierleoni
The European Physical Journal Special Topics 224 (12), 2239-2267, 2015
72015
Comparing different coarse-grained potentials for star polymers
R Menichetti, A Pelissetto
The Journal of Chemical Physics 138 (12), 124902, 2013
52013
Thermodynamics of star polymer solutions: A coarse-grained study
R Menichetti, A Pelissetto, F Randisi
The Journal of Chemical Physics 146 (24), 244908, 2017
42017
An information theory-based approach for optimal model reduction of biomolecules
M Giulini, R Menichetti, MS Shell, R Potestio
arXiv preprint arXiv:2004.03988, 2020
32020
Molecular dynamics trajectories for 630 coarse-grained drug-membrane permeations
C Hoffmann, A Centi, R Menichetti, T Bereau
Scientific Data 7 (1), 1-7, 2020
32020
Revisiting the Meyer-Overton rule for drug-membrane permeabilities
R Menichetti, T Bereau
Molecular Physics 117 (20), 2900-2909, 2019
32019
Integral equation analysis of single-site coarse-grained models for polymer–colloid mixtures
R Menichetti, G D’Adamo, A Pelissetto, C Pierleoni
Molecular Physics 113 (17-18), 2629-2642, 2015
32015
Investigating Drug-Membrane Permeability across Chemical Compound Space using High-Throughput Coarse-Grained Simulations
R Menichetti, KH Kanekal, T Bereau
Biophysical Journal 116 (3), 318a, 2019
12019
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs
F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio
arXiv preprint arXiv:2007.08658, 2020
2020
Drug-membrane permeabilities across chemical space
R Menichetti, K Kanekal, T Bereau
APS 2019, R21. 001, 2019
2019
Computational high-throughput screening of drug-membrane thermodynamics
R Menichetti, KH Kanekal, K Kremer, T Bereau
APS 2018, S20. 006, 2018
2018
High-Throughput Thermodynamics of Drug-Membrane Interactions from Multiscale Simulations
R Menichetti, K Kanekal, K Kremer, T Bereau
Biophysical Journal 112 (3), 140a, 2017
2017
Coarse-grained models for polymer solutions and colloid-polymer mixtures
R Menichetti
2015
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Articles 1–17