PRIN 2017 - Integrative tools for defining the molecular basis of the diseases: computational and experimental methods for protein variant interpretation

Starting date
September 17, 2019
Duration (months)
Neurosciences, Biomedicine and Movement Sciences
Managers or local contacts
Dell'Orco Daniele

The main aim of our project consists in filling the gap between thermodynamic data and disease-related information on protein variants. We propose to integrate theoretical/computational approaches with experimental validations to assess the impact of amino acid variations on protein structure, function and protein-protein binding affinity.
We will generate a comprehensive database collecting all the structural and functional protein variants associated to diseases, with specific reference to predicted or experimentally available thermodynamic data. Then, we will use those data to implement customized methods for predicting the impact of variants on proteins associated to cancer and to genetic diseases affecting calcium signalling. 
Our proposal represents an unprecedented opportunity to bring together computational and experimental scientists for creating a consortium able at characterizing the effect of genetic variants at protein level and their impact on human health.


Funds: assigned and managed by the department

Project participants

Daniele Dell'Orco
Associate Professor
Mariapina D'Onofrio
Associate Professor

Collaboratori esterni

Pietro Fariselli
Università degli Studi di Padova
Emidio Capriotti
Università degli Studi di Bologna
Roberta Chiaraluce
Università degli Studi di Roma “La Sapienza”
Gaetano Salina
Istituto Nazionale di Fisica Nucleare
Research areas involved in the project


Research facilities