Biological networks

role of cellular and sub-cellular connections in biological function and disease

This work focuses on building theoretically driven models of genetic, cellular and protein interactions to understand the role of connectivity in function, regulation and disease. By mapping structural relations across pheno and genotypic features of biological systems, we aim to build entirely new paradigms of biological interactions that will dramatically improve disease prevention strategies.

Featured publications

Network integration of multi-tumour omics data suggests novel targeting strategies

Ítalo Faria do Valle, Giulia Menichetti, Giorgia Simonetti, Samantha Bruno, Isabella Zironi, Danielle Fernandes Durso, José C. M. Mombach, Giovanni Martinelli, Gastone Castellani & Daniel Remondini
Nature Communications
October 30, 2018

Network Medicine: Complex Systems in Human Disease and Therapeutics

J. Loscalzo, A.-L. Barabási, E. K. Silverman (eds.)
Harvard University Press
February 15, 2017

Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets

A. Vinayagama, T.E. Gibsonb, H.-J. Lee, B. Yilmazeld, C. Roeseld, Y. Kwona, A. Sharma, Y.-Y. Liu, N. Perrimona, A.-L. Barabasi.
PNAS
April 18, 2016

Recent publications

Network-based prediction of protein interactions

István A. Kovács, Katja Luck, Kerstin Spirohn, Yang Wang, Carl Pollis, Sadie Schlabach, Wenting Bian, Dae-Kyum Kim, Nishka Kishore, Tong Hao, Michael A. Calderwood, Marc Vidal & Albert-László Barabási
Nature Communications
March 18, 2019

Network-based prediction of drug combinations

Feixiong Chen, István A. Kovács & Albert László Barabási
Nature Communications
March 13, 2019

Network integration of multi-tumour omics data suggests novel targeting strategies

Ítalo Faria do Valle, Giulia Menichetti, Giorgia Simonetti, Samantha Bruno, Isabella Zironi, Danielle Fernandes Durso, José C. M. Mombach, Giovanni Martinelli, Gastone Castellani & Daniel Remondini
Nature Communications
October 30, 2018

Network control principles predict neuron function in the Caenorhabditis elegans connectome

Gang Yan, Petra E. Vértes, Emma K. Towlson, Yee Lian Chew, Denise S. Walker, William R. Schafer, Albert-László Barabási
Nature Letter
October 17, 2017

Integrating Personalized Gene Expression Profiles into Predictive Disease-Associated Gene Pools

J. Menche, E. Guney, A. Sharma, P.J. Branigan, M.J. Loza, F. Baribaud, R. Dobrin, A.-L. Barabasi
Systems Biology and Applications
March 13, 2017

Featured project

The Foodome project aims to understand environmental components of coronary heart disease (CHD). The goal is to categorize food ingredients into their chemical constituents in order to identify precise chemical mechanisms that explain how ingested chemicals lead to CHD. The project will take on an immense data collection effort tracking food intake across large populations to capture individualized chemical palettes and determine stability of individuals’ food fingerprint over time. This work will result in the first ever database cataloging an exhaustive list of chemicals that humans consume, which will be used to explore complex relationships between food intake and disease risk.

Associated faculty

Major funders

American Heart Association, NSF, NIH