Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Roberto Menichetti

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
The Journal of Chemical Physics|April 6, 2013
Comparing different coarse-grained potentials for star polymersRoberto Menichetti, Andrea Pelissetto
The Journal of Chemical Physics|July 3, 2017
Thermodynamics of star polymer solutions: A coarse-grained studyRoberto Menichetti, Andrea Pelissetto, Ferdinando Randisi
The Journal of Physical Chemistry. B|January 6, 2025
A Multiscale Analysis of the CzrA Transcription Repressor Highlights the Allosteric Changes Induced by Metal Ion BindingMarta Rigoli, Raffaello Potestio, Roberto Menichetti
Biochemical and Biophysical Research Communications|September 6, 2017
Efficient potential of mean force calculation from multiscale simulations: Solute insertion in a lipid membraneRoberto Menichetti, Kurt Kremer, Tristan Bereau
The European Physical Journal. B|November 1, 2021
A journey through mapping space: characterising the statistical and metric properties of reduced representations of macromoleculesRoberto Menichetti, Marco Giulini, Raffaello Potestio
ACS Central Science|March 6, 2019
Drug-Membrane Permeability across Chemical SpaceRoberto Menichetti, Kiran H Kanekal, Tristan Bereau
Scientific Data|February 15, 2020
Molecular dynamics trajectories for 630 coarse-grained drug-membrane permeationsChristian Hoffmann, Alessia Centi, Roberto Menichetti, et al.
The Journal of Chemical Physics|October 2, 2017
In silico screening of drug-membrane thermodynamics reveals linear relations between bulk partitioning and the potential of mean forceRoberto Menichetti, Kiran H Kanekal, Kurt Kremer, et al.
Journal of Chemical Theory and Computation|October 27, 2020
An Information-Theory-Based Approach for Optimal Model Reduction of BiomoleculesMarco Giulini, Roberto Menichetti, M Scott Shell, et al.
Physical Review. E|October 24, 2019
Controlled exploration of chemical space by machine learning of coarse-grained representationsChristian Hoffmann, Roberto Menichetti, Kiran H Kanekal, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
The Journal of Chemical Physics|April 6, 2013
Comparing different coarse-grained potentials for star polymersRoberto Menichetti, Andrea Pelissetto
The Journal of Chemical Physics|July 3, 2017
Thermodynamics of star polymer solutions: A coarse-grained studyRoberto Menichetti, Andrea Pelissetto, Ferdinando Randisi
The Journal of Physical Chemistry. B|January 6, 2025
A Multiscale Analysis of the CzrA Transcription Repressor Highlights the Allosteric Changes Induced by Metal Ion BindingMarta Rigoli, Raffaello Potestio, Roberto Menichetti
Biochemical and Biophysical Research Communications|September 6, 2017
Efficient potential of mean force calculation from multiscale simulations: Solute insertion in a lipid membraneRoberto Menichetti, Kurt Kremer, Tristan Bereau
The European Physical Journal. B|November 1, 2021
A journey through mapping space: characterising the statistical and metric properties of reduced representations of macromoleculesRoberto Menichetti, Marco Giulini, Raffaello Potestio
ACS Central Science|March 6, 2019
Drug-Membrane Permeability across Chemical SpaceRoberto Menichetti, Kiran H Kanekal, Tristan Bereau
Scientific Data|February 15, 2020
Molecular dynamics trajectories for 630 coarse-grained drug-membrane permeationsChristian Hoffmann, Alessia Centi, Roberto Menichetti, et al.
The Journal of Chemical Physics|October 2, 2017
In silico screening of drug-membrane thermodynamics reveals linear relations between bulk partitioning and the potential of mean forceRoberto Menichetti, Kiran H Kanekal, Kurt Kremer, et al.
Journal of Chemical Theory and Computation|October 27, 2020
An Information-Theory-Based Approach for Optimal Model Reduction of BiomoleculesMarco Giulini, Roberto Menichetti, M Scott Shell, et al.
Physical Review. E|October 24, 2019
Controlled exploration of chemical space by machine learning of coarse-grained representationsChristian Hoffmann, Roberto Menichetti, Kiran H Kanekal, et al.
Pageof 2