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Month: April 2020

[Apr 29th 2020] LabMeeting: COVID-19 Italian and European pandemic: a SEIR model with undetected fraction and mobility-dependent transmission rate

Nicola Picchiotti Apr 29, 2020 – 11:00 AM Conference Meeting Description We propose a COVID-19 pandemic modelling, based on a SEIR compartmental framework, taking into account the heterogeneous fraction of undetected cases, the mobility variations along time and the adoption of personal protective measures. The model is experimentally validated across both Italian regions and several […]

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27 April 2020
 |  Category: Seminars

[Apr 22nd 2020] LabMeeting: A possible strategy to fight COVID-19:Interfering with spike glycoprotein trimerization.

Pietro Bongini (University of Florence) Apr 22, 2020 – 11:00 AM Conference Meeting Description The recent release of COVID-19 spike glycoprotein allows detailed analysis of the structural features that are required for stabilizing the infective form of its quaternary assembly. Trying to disassemble the trimeric structure of COVID-19 spike glycoprotein, we analyzed single protomer surfaces […]

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20 April 2020
 |  Category: Seminars
Interface of Monomer B (green) with Monomer A (red). The druggable pocket is highlighted in yellow

Research on Covid-19 spike protein

The spike glycoprotein of COVID-19 is fundamental in the life cicle of the virus, allowing virions to attach to host cell receptors. We analyzed the structure of this protein, which is composed of three monomers, searching for concave moieties located in the monomer-monomer interface regions. The presence of some druggable pockets in these locations suggests […]

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16 April 2020
 |  Category: Publications

[Apr 15 2020] LabMeeting: On Mutual Information Maximization for Representation Learning

Matteo Tiezzi (University of Siena) Apr 15, 2020 – 11:00 AM Conference Meeting Description Many recent methods for unsupervised or self-supervised representation learning train feature extractors by maximizing an estimate of the mutual information (MI) between different views of the data. This comes with several immediate problems. For example, MI is notoriously hard to estimate, […]

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14 April 2020
 |  Category: Seminars

A Variational Framework for Laws of Learning

Simplicity and elegance have always been incredibly useful criteria for the development of successful theories that describe natural phenomena. Variational methods frame this parsimony principles into precise mathematical statements. In this thesis we showed how we can formulate learning theories using calculus of variations. Despite the natural way in which learning problem can be formulated […]

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1 April 2020
 |  Category: PhD Theses