Riccardo Capelli

About Riccardo Capelli

Riccardo Capelli, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Molecular dynamics, free energy calculation, enhanced sampling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Calcium-driven In Silico Inactivation of a Human Olfactory Receptor

Proton Affinity and Conformational Integrity of a 24-Atom Triazine Macrocycle across Physiologically Relevant pH

Optimizing biophysical predictor selection for katanin allosteric transitions via metadynamics and machine learning

Multi-eGO: Model Improvements toward the Study of Complex Self-Assembly Processes

Atomistic Insights into Hydrogen-Bonded Supramolecular Capsule Self-Assembly Dynamics

Lessons Learned from Multiobjective Automatic Optimizations of Classical Three-Site Rigid Water Models Using Microscopic and Macroscopic Target Experimental Observables

Accurate and Efficient SAXS/SANS Implementation Including Solvation Layer Effects Suitable for Molecular Simulations

Automatic Optimization of Lipid Models in the Martini Force Field Using SwarmCG

Riccardo Capelli Information

University

Position

Department of Applied Science and Technology (DISAT)

Citations(all)

1225

Citations(since 2020)

1194

Cited By

287

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

22

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Riccardo Capelli Skills & Research Interests

Molecular dynamics

free energy calculation

enhanced sampling

Top articles of Riccardo Capelli

Calcium-driven In Silico Inactivation of a Human Olfactory Receptor

Journal of Chemical Information and Modeling

2024/3/24

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Proton Affinity and Conformational Integrity of a 24-Atom Triazine Macrocycle across Physiologically Relevant pH

The Journal of Organic Chemistry

2024/2/16

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Optimizing biophysical predictor selection for katanin allosteric transitions via metadynamics and machine learning

Biophysical Journal

2024/2/8

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Multi-eGO: Model Improvements toward the Study of Complex Self-Assembly Processes

Journal of Chemical Theory and Computation

2023/12/28

Atomistic Insights into Hydrogen-Bonded Supramolecular Capsule Self-Assembly Dynamics

The Journal of Physical Chemistry C

2023/12/26

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Lessons Learned from Multiobjective Automatic Optimizations of Classical Three-Site Rigid Water Models Using Microscopic and Macroscopic Target Experimental Observables

Journal of Chemical & Engineering Data

2023/12/5

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Charly Empereur-Mot
Charly Empereur-Mot

H-Index: 7

Accurate and Efficient SAXS/SANS Implementation Including Solvation Layer Effects Suitable for Molecular Simulations

Journal of Chemical Theory and Computation

2023/11/3

Automatic Optimization of Lipid Models in the Martini Force Field Using SwarmCG

Journal of chemical information and modeling

2023/6/6

Charly Empereur-Mot
Charly Empereur-Mot

H-Index: 7

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Machine learning-based modeling of olfactory receptors in their inactive state: human OR51E2 as a case study

Journal of Chemical Information and Modeling

2023/5/5

Riccardo Capelli
Riccardo Capelli

H-Index: 8

A Model for the Rapid Assessment of Solution Structures for 24-Atom Macrocycles: The Impact of β-Branched Amino Acids on Conformation

The Journal of organic chemistry

2023/2/13

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Predictions of the poses and affinity of a ligand over the entire surface of a NEET protein: the case of human mitoNEET

Journal of Chemical Information and Modeling

2023/1/9

Self-assembly of cyclic peptide monolayers by hydrophobic supramolecular hinges

Chemical Science

2023

Metadynamics simulations of ligands binding to protein surfaces: a novel tool for rational drug design

2023

Topological origin of the protein folding transition

Physical Review E

2022/11/14

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Marco Pettini
Marco Pettini

H-Index: 18

Computational Epitope Prediction and Design for Antibody Development and Detection

2023

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Giorgio Colombo
Giorgio Colombo

H-Index: 11

Well-Tempered Metadynamics Simulations Predict the Structural and Dynamic Properties of a Chiral 24-Atom Macrocycle in Solution

ACS omega

2022/8/8

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Enhanced-sampling simulations for the estimation of ligand binding kinetics: current status and perspective

2022/6/8

Andrea Rizzi
Andrea Rizzi

H-Index: 7

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Ephemeral ice-like local environments in classical rigid models of liquid water

The Journal of Chemical Physics

2022/6/7

Riccardo Capelli
Riccardo Capelli

H-Index: 8

Francesco Muniz-Miranda
Francesco Muniz-Miranda

H-Index: 14

Porous covalent organic nanotubes and their assembly in loops and toroids

Nature Chemistry

2022/5

Multiple Poses and Thermodynamics of Ligands Targeting Protein Surfaces: The Case of Furosemide Binding to mitoNEET in Aqueous Solution

Frontiers in cell and developmental biology

2022/4/26

See List of Professors in Riccardo Capelli University(Politecnico di Torino)