[HTML][HTML] The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
Thanks to the unbiased exploration of genomic variants at large scale, hundreds of
thousands of disease-associated loci have been uncovered. In parallel, network-based …
thousands of disease-associated loci have been uncovered. In parallel, network-based …
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
D Morselli Gysi, Í Do Valle, M Zitnik… - Proceedings of the …, 2021 - National Acad Sciences
The COVID-19 pandemic has highlighted the need to quickly and reliably prioritize clinically
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
approved compounds for their potential effectiveness for severe acute respiratory syndrome …
Master regulator analysis of the SARS-CoV-2/human interactome
PH Guzzi, D Mercatelli, C Ceraolo… - Journal of clinical medicine, 2020 - mdpi.com
The recent epidemic outbreak of a novel human coronavirus called SARS-CoV-2 causing
the respiratory tract disease COVID-19 has reached worldwide resonance and a global …
the respiratory tract disease COVID-19 has reached worldwide resonance and a global …
Muscarinic M1 and M4 receptors: Hypothesis driven drug development for schizophrenia
B Dean, E Scarr - Psychiatry research, 2020 - Elsevier
The finding that the drug KarXT, a formulation of xanomeline and tropsium which targets
muscarinic receptors, has given a positive result in reducing the positive and negative …
muscarinic receptors, has given a positive result in reducing the positive and negative …
Community detection in protein-protein interaction networks and applications
I Manipur, M Giordano, M Piccirillo… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …
internal modular organization through network analysis is fundamental for understanding …
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery
In this study, we integrate the outcomes of co-expression network analysis with the human
interactome network to predict novel putative disease genes and modules. We first apply the …
interactome network to predict novel putative disease genes and modules. We first apply the …
SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19
The novelty of new human coronavirus COVID-19/SARS-CoV-2 and the lack of effective
drugs and vaccines gave rise to a wide variety of strategies employed to fight this worldwide …
drugs and vaccines gave rise to a wide variety of strategies employed to fight this worldwide …
The VRNetzer platform enables interactive network analysis in Virtual Reality
S Pirch, F Müller, E Iofinova, J Pazmandi… - Nature …, 2021 - nature.com
Networks provide a powerful representation of interacting components within complex
systems, making them ideal for visually and analytically exploring big data. However, the …
systems, making them ideal for visually and analytically exploring big data. However, the …
Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
Abstract Systems-level assessments of protein-protein interaction (PPI) network dysfunctions
are currently out-of-reach because approaches enabling proteome-wide identification …
are currently out-of-reach because approaches enabling proteome-wide identification …