SM&FT 2017 - The XVII Workshop on Statistical Mechanics and nonpertubative Field Theory

Session

Session 1

13 Dec 2017, 09:20

Centro Polifunzionale UniBA

Conveners

Session 1

• Giovanni Cicuta (INFN)

91. Pathway-based analysis of gene expression data: method and applications.

Prof. Eytan Domany (Weizmann Institute of Science)

13/12/2017, 09:20

I will first review a “systems approach” to analysis of high throughput large gene expression datasets. The basic idea, of using existing knowledge (assigning genes to biological pathways) to transform gene level information into “coarse-grained” system-level information, has been implemented in Pathifier [1] – an algorithm that infers pathway deregulation scores for each sample, on the basis...

80. Abeta peptides and beta-sheet breakers. A coarse grained molecular dynamics approach

Emiliano De Santis (ROMA2)

13/12/2017, 10:00

The problem of protein misfolding is of the utmost biological and medical interest, since it is at the basis of a class of pathologies known as protein conformational disorders or amyloidosis. These diseases are characterised by the mis-folding of proteins that, becoming insoluble, accumulate in aggregates of fibrillar shape. It is remarkable that all the known neuro-degenerative diseases...

64. Multi-scale molecular dynamics & first-principle calculations of X-ray absorption spectra: an application to the study of metal cation coordination in water

Francesco Stellato (ROMA2)

13/12/2017, 10:20

The progress in high performance computing we are witnessing today offers the possibility of accurate ab initio calculations of systems in realistic physico-chemical conditions. In this talk we present a parameter-free strategy aimed at performing a first-principle computation of the low energy part of the X-ray Absorption Spectroscopy (XAS) spectrum based on density functional theory (DFT)....

52. Large Deviations in Renewal Models of Statistical Mechanics

Dr Marco Zamparo (Politecnico di Torino)

13/12/2017, 10:40

Cramér's theorem provides a large deviation principle for the empirical mean of independent and identically distributed random variables. In this talk I establish a generalization of Cramér's theorem for renewal-reward processes associated with a constrained renewal process where one of the renewals occurs at a predetermined time. With a different interpretation of the time coordinate, this...