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

Lorenzo Pallante

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
ACS Omega|February 26, 2020
Molecular and Coarse-Grained Modeling to Characterize and Optimize Dendrimer-Based Nanocarriers for Short Interfering RNA DeliveryFilip Stojceski, Gianvito Grasso, Lorenzo Pallante, et al.
Biotechnology and Bioengineering|April 8, 2024
Machine learning approaches to predict TAS2R receptors for bitterantsFrancesco Ferri, Marco Cannariato, Marco Agostino Deriu, et al.
Biomechanics and Modeling in Mechanobiology|December 7, 2023
Mechanical communication within the microtubule through network-based analysis of tubulin dynamicsMarco Cannariato, Eric A Zizzi, Lorenzo Pallante, et al.
International Journal of Antimicrobial Agents|September 10, 2025
LightCPPgen: An explainable machine learning pipeline for rational design of cell penetrating peptidesGabriele Maroni, Filip Stojceski, Lorenzo Pallante, et al.
International Journal of Molecular Sciences|March 20, 2020
The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical CharacterizationStefano Muscat, Lorenzo Pallante, Filip Stojceski, et al.
Current Research in Food Science|November 28, 2022
Informed classification of sweeteners/bitterants compounds via explainable machine learningGabriele Maroni, Lorenzo Pallante, Giacomo Di Benedetto, et al.
Proteins|July 18, 2024
Conformational Dynamics and Molecular Characterization of Alsin MORN Monomer and Dimeric AssembliesMarcello Miceli, Marco Cannariato, Riccardo Tortarolo, et al.
Journal of Molecular Graphics & Modelling|October 15, 2025
Explainable machine learning and deep learning models for predicting TAS2R-bitter molecule interactionsFrancesco Ferri, Marco Cannariato, Lorenzo Pallante, et al.
Frontiers in Chemistry|March 11, 2020
<i>In silico</i> Investigations of the Mode of Action of Novel Colchicine Derivatives Targeting β-Tubulin Isotypes: A Search for a Selective and Specific β-III Tubulin LigandLorenzo Pallante, Antonio Rocca, Greta Klejborowska, et al.
Frontiers in Molecular Biosciences|December 17, 2024
Exploring TAS2R46 biomechanics through molecular dynamics and network analysisMarco Cannariato, Riccardo Fanunza, Eric A Zizzi, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
ACS Omega|February 26, 2020
Molecular and Coarse-Grained Modeling to Characterize and Optimize Dendrimer-Based Nanocarriers for Short Interfering RNA DeliveryFilip Stojceski, Gianvito Grasso, Lorenzo Pallante, et al.
Biotechnology and Bioengineering|April 8, 2024
Machine learning approaches to predict TAS2R receptors for bitterantsFrancesco Ferri, Marco Cannariato, Marco Agostino Deriu, et al.
Biomechanics and Modeling in Mechanobiology|December 7, 2023
Mechanical communication within the microtubule through network-based analysis of tubulin dynamicsMarco Cannariato, Eric A Zizzi, Lorenzo Pallante, et al.
International Journal of Antimicrobial Agents|September 10, 2025
LightCPPgen: An explainable machine learning pipeline for rational design of cell penetrating peptidesGabriele Maroni, Filip Stojceski, Lorenzo Pallante, et al.
International Journal of Molecular Sciences|March 20, 2020
The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical CharacterizationStefano Muscat, Lorenzo Pallante, Filip Stojceski, et al.
Current Research in Food Science|November 28, 2022
Informed classification of sweeteners/bitterants compounds via explainable machine learningGabriele Maroni, Lorenzo Pallante, Giacomo Di Benedetto, et al.
Proteins|July 18, 2024
Conformational Dynamics and Molecular Characterization of Alsin MORN Monomer and Dimeric AssembliesMarcello Miceli, Marco Cannariato, Riccardo Tortarolo, et al.
Journal of Molecular Graphics & Modelling|October 15, 2025
Explainable machine learning and deep learning models for predicting TAS2R-bitter molecule interactionsFrancesco Ferri, Marco Cannariato, Lorenzo Pallante, et al.
Frontiers in Chemistry|March 11, 2020
<i>In silico</i> Investigations of the Mode of Action of Novel Colchicine Derivatives Targeting β-Tubulin Isotypes: A Search for a Selective and Specific β-III Tubulin LigandLorenzo Pallante, Antonio Rocca, Greta Klejborowska, et al.
Frontiers in Molecular Biosciences|December 17, 2024
Exploring TAS2R46 biomechanics through molecular dynamics and network analysisMarco Cannariato, Riccardo Fanunza, Eric A Zizzi, et al.
Pageof 2