| Game on, science-how video game technology may help biologists tackle visualization challenges Z Lv, A Tek, F Da Silva, C Empereur-Mot, M Chavent, M Baaden PloS one 8 (3), e57990, 2013 | 436 | 2013 |
| Proteins evolve on the edge of supramolecular self-assembly H Garcia-Seisdedos, C Empereur-Mot, N Elad, ED Levy Nature 548 (7666), 244-247, 2017 | 246 | 2017 |
| Self-sorted, random, and block supramolecular copolymers via sequence controlled, multicomponent self-assembly A Sarkar, R Sasmal, C Empereur-Mot, D Bochicchio, SVK Kompella, ... Journal of the American Chemical Society 142 (16), 7606-7617, 2020 | 187 | 2020 |
| Predictiveness curves in virtual screening C Empereur-Mot, H Guillemain, A Latouche, JF Zagury, V Viallon, ... Journal of cheminformatics 7, 1-17, 2015 | 109 | 2015 |
| Cooperative supramolecular block copolymerization for the synthesis of functional axial organic heterostructures A Sarkar, T Behera, R Sasmal, R Capelli, C Empereur-Mot, J Mahato, ... Journal of the American Chemical Society 142 (26), 11528-11539, 2020 | 97 | 2020 |
| Screening explorer–An interactive tool for the analysis of screening results C Empereur-Mot, JF Zagury, M Montes Journal of chemical information and modeling 56 (12), 2281-2286, 2016 | 82 | 2016 |
| Swarm-CG: Automatic Parametrization of Bonded Terms in MARTINI-Based Coarse-Grained Models of Simple to Complex Molecules via Fuzzy Self-Tuning … C Empereur-Mot, L Pesce, G Doni, D Bochicchio, R Capelli, C Perego, ... ACS omega 5 (50), 32823-32843, 2020 | 58 | 2020 |
| A data-driven dimensionality reduction approach to compare and classify lipid force fields R Capelli, A Gardin, C Empereur-Mot, G Doni, GM Pavan The Journal of Physical Chemistry B 125 (28), 7785-7796, 2021 | 32 | 2021 |
| Automatic Optimization of Lipid Models in the Martini Force Field Using SwarmCG C Empereur-Mot, KB Pedersen, R Capelli, M Crippa, C Caruso, ... Journal of chemical information and modeling 63 (12), 3827-3838, 2023 | 21 | 2023 |
| Automatic multi-objective optimization of coarse-grained lipid force fields using SwarmCG C Empereur-Mot, R Capelli, M Perrone, C Caruso, G Doni, GM Pavan The Journal of Chemical Physics 156 (2), 2022 | 13 | 2022 |
| Discriminating agonist from antagonist ligands of the nuclear receptors using different chemoinformatics approaches N Lagarde, S Delahaye, A Jérémie, N Ben Nasr, H Guillemain, ... Molecular informatics 36 (10), 1700020, 2017 | 12 | 2017 |
| Geometric description of self-interaction potential in symmetric protein complexes C Empereur-Mot, H Garcia-Seisdedos, N Elad, S Dey, ED Levy Scientific data 6 (1), 64, 2019 | 7 | 2019 |
| Développement d’outils statistiques d’évaluation de méthodes de criblage virtuel: courbes de prédictivité & Screening Explorer C Empereur-Mot Conservatoire national des arts et metiers-CNAM, 2017 | 6 | 2017 |
| Lessons learned from multiobjective automatic optimizations of classical three-site rigid water models using microscopic and macroscopic target experimental observables M Perrone, R Capelli, C Empereur-Mot, A Hassanali, GM Pavan Journal of Chemical & Engineering Data 68 (12), 3228-3241, 2023 | 5 | 2023 |
| The Martini 3 lipidome: expanded and refined parameters improve lipid phase behavior KB Pedersen, HI Ingólfsson, DP Ramirez-Echemendia, L Borges-Araújo, ... | 3 | 2024 |
| Development of statistical tools for the evaluation of virtual screening methods: predictiveness curves & Screening Explorer C Empereur-Mot < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2017 | 1 | 2017 |
| Exploring Structural Determinants and Functional Aspects of Micron‐scale Protein Assemblies in Living Cells T Levin, HG Seisdedos, C Empereur-Mot, E Levy The FASEB Journal 34 (S1), 1-1, 2020 | | 2020 |
Giovanni M. PavanFull Professor at Politecnico di Torinoبريد إلكتروني تم التحقق منه على polito.it