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Lorenza Pacini

Showing results (1-10 of 8) with videos related to

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Bioinformatics (Oxford, England)|October 25, 2021
A computational methodology to diagnose sequence-variant dynamic perturbations by comparing atomic protein structuresLorenza Pacini, Claire Lesieur
Frontiers in Molecular Biosciences|November 17, 2022
GCAT: A network model of mutational influences between amino acid positions in PSD95<sup>pdz3</sup>Lorenza Pacini, Claire Lesieur
Structure (London, England : 1993)|May 29, 2021
Experimental diagnostic of sequence-variant dynamic perturbations revealed by broadband dielectric spectroscopyLaëtitia Bourgeat, Lorenza Pacini, Anatoli Serghei, et al.
STAR Protocols|July 25, 2022
A protocol to measure slow protein dynamics of the cholera toxin B pentamers using broadband dielectric spectroscopyLaetitia Bourgeat, Lorenza Pacini, Anatoli Serghei, et al.
Frontiers in Molecular Biosciences|October 28, 2021
Mapping Function from Dynamics: Future Challenges for Network-Based Models of Protein StructuresLorenza Pacini, Rodrigo Dorantes-Gilardi, Laurent Vuillon, et al.
Physical Chemistry Chemical Physics : PCCP|October 2, 2018
In proteins, the structural responses of a position to mutation rely on the Goldilocks principle: not too many links, not too fewRodrigo Dorantes-Gilardi, Laëtitia Bourgeat, Lorenza Pacini, et al.
The Journal of Physical Chemistry. B|April 5, 2019
Exploring Allosteric Pathways of a V-Type Enzyme with Dynamical Perturbation NetworksAria Gheeraert, Lorenza Pacini, Victor S Batista, et al.
The Science of the Total Environment|July 28, 2023
A new approach to estimate soil organic carbon content targets in European croplands topsoilsLorenza Pacini, Pierre Arbelet, Songchao Chen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|October 25, 2021
A computational methodology to diagnose sequence-variant dynamic perturbations by comparing atomic protein structuresLorenza Pacini, Claire Lesieur
Frontiers in Molecular Biosciences|November 17, 2022
GCAT: A network model of mutational influences between amino acid positions in PSD95<sup>pdz3</sup>Lorenza Pacini, Claire Lesieur
Structure (London, England : 1993)|May 29, 2021
Experimental diagnostic of sequence-variant dynamic perturbations revealed by broadband dielectric spectroscopyLaëtitia Bourgeat, Lorenza Pacini, Anatoli Serghei, et al.
STAR Protocols|July 25, 2022
A protocol to measure slow protein dynamics of the cholera toxin B pentamers using broadband dielectric spectroscopyLaetitia Bourgeat, Lorenza Pacini, Anatoli Serghei, et al.
Frontiers in Molecular Biosciences|October 28, 2021
Mapping Function from Dynamics: Future Challenges for Network-Based Models of Protein StructuresLorenza Pacini, Rodrigo Dorantes-Gilardi, Laurent Vuillon, et al.
Physical Chemistry Chemical Physics : PCCP|October 2, 2018
In proteins, the structural responses of a position to mutation rely on the Goldilocks principle: not too many links, not too fewRodrigo Dorantes-Gilardi, Laëtitia Bourgeat, Lorenza Pacini, et al.
The Journal of Physical Chemistry. B|April 5, 2019
Exploring Allosteric Pathways of a V-Type Enzyme with Dynamical Perturbation NetworksAria Gheeraert, Lorenza Pacini, Victor S Batista, et al.
The Science of the Total Environment|July 28, 2023
A new approach to estimate soil organic carbon content targets in European croplands topsoilsLorenza Pacini, Pierre Arbelet, Songchao Chen, et al.
Pageof 1