activity
19972022
most citedRecurrence quantification analysis as a tool for the characterization of molecular dynamics simulations

64 citations · 193 across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.PE2022★ 1 cited

Reconstruction of the temporal correlation network of all-cause mortality fluctuation across Italian regions: the importance of temperature and among-nodes flux

Guido Gigante, Alessandro Giuliani

All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors.…

q-bio.QM2022★ 1 cited

Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks

Pietro Hiram Guzzi, Luisa Di Paola, Alessandro Giuliani +1

Protein Contact Network (PCN) is a powerful tool for analysing the structure and function of proteins. In particular, PCN has been used for disclosing the molecular features of all…

q-bio.BM2020★ 3 cited

Mapping active allosteric loci SARS-CoV Spike Proteins by means of Protein Contact Networks

Luisa Di Paola, Alessandro Giuliani

Coronaviruses are a class of virus responsible of the recent outbreak of Human Severe Acute Respiratory Syndrome. The molecular machinery behind the viral entry and thus infectivit…

q-bio.BM2015★ 21 cited

A generative model for protein contact networks

Lorenzo Livi, Enrico Maiorino, Alessandro Giuliani +2

In this paper we present a generative model for protein contact networks. The soundness of the proposed model is investigated by focusing primarily on mesoscopic properties elabora…

q-bio.BM2014★ 26 cited

Multifractal Characterization of Protein Contact Networks

Enrico Maiorino, Lorenzo Livi, Alessandro Giuliani +2

The multifractal detrended fluctuation analysis of time series is able to reveal the presence of long-range correlations and, at the same time, to characterize the self-similarity…

q-bio.BM2014★ 14 cited

Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins

Lorenzo Livi, Enrico Maiorino, Andrea Pinna +3

In this paper, we study the structure and dynamical properties of protein contact networks with respect to other biological networks, together with simulated archetypal models acti…