Mehdi Bouhaddou*

Mehdi Bouhaddou, Ph.D.

Office Address:
Boyer 510G


Assistant Professor, Microbiology, Immunology & Molecular Genetics
Member, Quantitative and Computational Biosciences Institute
Research Interests

We are a Quantitative Systems Biology lab that seeks to understand the biological principles that govern the interplay between viruses and host signaling—from systems-level features to basic mechanisms. We systematically compare how different viruses manipulate, or are manipulated by, host phosphorylation signaling, using a combination of mass spectrometry [phospho]proteomics, experimental virology, and computational modeling.

In addition to developing governing principles and discovering novel mechanisms of viral pathogenesis, we seek to identify and test multi-virus therapeutics. Conversely, we also use viruses to learn about ourselves, using them as tools to probe our own signaling circuitry, with applications to other disease areas such as cancer.

The lab is half “wet” and half “dry”, cultivating an interactive exchange between experimental and computational workflows. Experimentally, we focus on global mass spectrometry proteomics, affinity purification mass spectrometry (APMS), cell culture-based virology, genetic perturbation screens, pharmacology, and molecular biology. Computationally, we specialize in bioinformatics, network modeling, and ordinary differential equation (ODE) modeling.


A selected list of publications:


Mehdi Bouhaddou, Danish Memon, Bjoern Meyer, Kris M. White, Veronica V. Rezelj, Miguel Correa Marrero, Benjamin J. Polacco, et al. 2020. “The Global Phosphorylation Landscape of SARS-CoV-2 Infection.” Cell


Lucy G. Thorne, Mehdi Bouhaddou, Ann-Kathrin Reuschl, Lorena Zuliani-Alvarez, Ben Polacco, Adrian Pelin, Jyoti Batra, et al. 2022. “Evolution of Enhanced Innate Immune Evasion by SARS-CoV-2.” Nature


David E. Gordon, Joseph Hiatt, Mehdi Bouhaddou, Veronica V. Rezelj, Svenja Ulferts, Hannes Braberg, Alexander S. Jureka, et al. 2020. “Comparative Host-Coronavirus Protein Interaction Networks Reveal Pan-Viral Disease Mechanisms.” Science


David E. Gordon, Gwendolyn M. Jang, Mehdi Bouhaddou, Jiewei Xu, Kirsten Obernier, Kris M. White, Matthew J. O’Meara, et al. 2020. “A SARS-CoV-2 Protein Interaction Map Reveals Targets for Drug Repurposing.” Nature


Ruofan Wang, Camille R. Simoneau, Jessie Kulsuptrakul, Mehdi Bouhaddou, Katherine A. Travisano, Jennifer M. Hayashi, Jared Carlson-Stevermer, et al. 2021. “Genetic Screens Identify Host Factors for SARS-CoV-2 and Common Cold Coronaviruses.” Cell


Mehdi Bouhaddou, Anne Marie Barrette, Alan D. Stern, Rick J. Koch, Matthew S. DiStefano, Eric A. Riesel, Luis C. Santos, Annie L. Tan, Alex E. Mertz, and Marc R. Birtwistle. 2018. “A Mechanistic Pan-Cancer Pathway Model Informed by Multi-Omics Data Interprets Stochastic Cell Fate Responses to Drugs and Mitogens.” PLoS Computational Biology


Minkyu Kim, Jisoo Park, Mehdi Bouhaddou, Kyumin Kim, Ajda Rojc, Maya Modak, Margaret Soucheray, et al. 2021. “A Protein Interaction Landscape of Breast Cancer.” Science


Mehdi Bouhaddou, Rex H. Lee, Hua Li, Neil E. Bhola, Rachel A. O’Keefe, Mohammad Naser, Tian Ran Zhu, et al. 2021. “Caveolin-1 and Sox-2 Are Predictive Biomarkers of Cetuximab Response in Head and Neck Cancer.” JCI Insight