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

Social and asocial learning in zebrafish are encoded by a shared brain network that is differentially modulated by local activation

Júlia S. Pinho, Vincent Cunliffe, Kyriacos Kareklas, Giovanni Petri & Rui F. Oliveira
Communications biology
June 13, 2023

Improving the generalizability of protein-ligand binding predictions with AI-Bind

Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási & Giulia Menichetti
Nature Communications
April 8, 2023

Nutrient concentrations in food display universal behaviour

Giulia Menichetti & Albert-László Barabási
Nature Food
May 24, 2022

Recent publications

A Network-Based Framework to Discover Treatment-Response–Predicting Biomarkers for Complex Diseases

Uday S. Shanthamallu, Casey Kilpatrick, Alex Jones, Jonathan Rubin, Alif Saleh, Albert-László Barabási, Viatcheslav R. Akmaev, Susan D. Ghiassian
The Journal of Molecular Diagnostics
October 1, 2024

Decoding the Foodome: Molecular Networks Connecting Diet and Health

Giulia Menichetti, Albert-László Barabási, and Joseph Loscalzo
Annual Review of Nutrition
August 1, 2024

Transcranial ultrasound stimulation effect in the redundant and synergistic networks consistent across macaques

Marilyn Gatica, Cyril Atkinson-Clement, Pedro A. M. Mediano, Mohammad Alkhawashki, James Ross, Jérôme Sallet, Marcus Kaiser
Network Neuroscience
May 28, 2024

Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication

Iacopo Iacopini, Jennifer R. Foote, Nina H. Fefferman, Elizabeth P. Derryberry and Matthew J. Silk
Royal Society
May 20, 2024

Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction

Ayan Chatterjee, Babak Ravandi, Naomi H. Philip, Mario Abdelmessih, William R. Mowrey, Piero Ricchiuto, Yupu Liang, Wei Ding, Juan C. Mobarec, Tina Eliassi-Rad
bioRxiv
April 29, 2024
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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