Reka Albert

Distinguished Professor of Physics and Biology

Reka Albert

Research Summary

Biological physics and network modeling.

Huck Affiliations

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Publication Tags

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Cells Modeling Drought Dynamic Models Neoplasms Phenotype Ecosystem Feedback Antibiotics Abscisic Acid Cell Infection Model Genome Cancer Methodology Genes Network Dynamics Epithelial Mesenchymal Transition Therapeutics Libraries Tumors Metabolic Networks And Pathways Transforming Growth Factor Beta Clostridium Difficile

Most Recent Publications

Predicting cascading extinctions and efficient restoration strategies in plant–pollinator networks via generalized positive feedback loops

Fatemeh Sadat Fatemi Nasrollahi, Colin Campbell, Réka Albert, 2023, Scientific Reports

Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine

Xiao Gan, Zixin Shu, Xinyan Wang, Dengying Yan, Jun Li, Shany Ofaim, Réka Albert, Xiaodong Li, Baoyan Liu, Xuezhong Zhou, Albert László Barabási, 2023, Science advances

Inferring gene regulatory networks using transcriptional profiles as dynamical attractors

Ruihao Li, Jordan C. Rozum, Morgan M. Quail, Mohammad N. Qasim, Suzanne S. Sindi, Clarissa J. Nobile, Réka Albert, Aaron D. Hernday, 2023, PLoS Computational Biology

Structure-based approach to identify driver nodes in ensembles of biologically inspired Boolean networks

Eli Newby, Jorge Gómez Tejeda Zañudo, Jorge Gomez Tejeda Zanudo, Réka Albert, 2023, Physical Review Research on p. 033009

Models of cell processes are far from the edge of chaos

Kyu Hyong Park, Felipe Costa, Luis Rocha, Reka Albert, Jordan Rozum, 2023, PRX Life on p. 023008

Leveraging network structure in nonlinear control

Jordan Rozum, Réka Albert, 2022, npj Systems Biology and Applications

Inference of a Boolean Network From Causal Logic Implications

Parul Maheshwari, Parul Maheswari, Sarah Assmann, Reka Albert, 2022, Frontiers in Genetics on p. 836856

Structure-based approach to identifying small sets of driver nodes in biological networks

Eli Newby, Jorge Gomez Tejeda Zanudo, Reka Albert, 2022, Chaos

Pystablemotifs: Python library for attractor identification and control in Boolean networks

Jordan C. Rozum, Dávid Deritei, Kyu Hyong Park, Jorge Gómez Tejeda Zañudo, Réka Albert, 2022, Bioinformatics on p. 1465-1466

Whole community invasions and the integration of novel ecosystems

Colin Campbell, Laura Russo, Réka Albert, Angus Buckling, Katriona Shea, 2022, PLoS Computational Biology

Most-Cited Papers

Network modeling of TGFβ signaling in hepatocellular carcinoma epithelial-to-mesenchymal transition reveals joint sonic hedgehog and Wnt pathway activation

Steven Nathaniel Steinway, Jorge G.T. Zanudo, Wei Ding, Carl Bart Rountree, David J. Feith, Thomas P. Loughran, Reka Albert, 2014, Cancer Research on p. 5963-5977

Border control - A membrane-linked interactome of Arabidopsis

Alexander M. Jones, Yuanhu Xuan, Meng Xu, Rui Sheng Wang, Cheng Hsun Ho, Sylvie Lalonde, Chang Hun You, Maria I. Sardi, Saman A. Parsa, Erika Smith-Valle, Tianying Su, Keith A. Frazer, Guillaume Pilot, Réjane Pratelli, Guido Grossmann, Biswa R. Acharya, Heng Cheng Hu, Cawas Engineer, Florent Villiers, Chuanli Ju, Kouji Takeda, Zhao Su, Qunfeng Dong, Sarah M. Assmann, Jin Chen, June M. Kwak, Julian I. Schroeder, Reka Albert, Seung Y. Rhee, Wolf B. Frommer, 2014, Science on p. 711-716

Structure-based control of complex networks with nonlinear dynamics

Jorge Gomez Tejeda Zañudo, Gang Yang, Réka Albert, Herbert Levine, 2017, Proceedings of the National Academy of Sciences of the United States of America on p. 7234-7239

Cell Fate Reprogramming by Control of Intracellular Network Dynamics

Jorge G.T. Zañudo, Réka Albert, 2015, PLoS Computational Biology

Combinatorial interventions inhibit TGFβ-driven epithelial-to-mesenchymal transition and support hybrid cellular phenotypes

Steven Nathaniel Steinway, Jorge Gomez Tejeda Zañudo, Paul J. Michel, David J. Feith, Thomas P. Loughran, Reka Albert, 2015, npj Systems Biology and Applications

Boolean modeling: A logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions

Réka Albert, Juilee Thakar, 2014, Wiley Interdisciplinary Reviews: Systems Biology and Medicine on p. 353-369

Inference of Network Dynamics and Metabolic Interactions in the Gut Microbiome

Steven N. Steinway, Matthew B. Biggs, Thomas P. Loughran, Jason A. Papin, Reka Albert, 2015, PLoS Computational Biology

Cooperative development of logical modelling standards and tools with CoLoMoTo

Aurélien Naldi, Pedro T. Monteiro, Christoph Müssel, Hans A. Kestler, Denis Thieffry, Ioannis Xenarios, Julio Saez-Rodriguez, Tomas Helikar, Claudine Chaouiya, Reka Albert, Matteo Barberis, Laurence Calzone, Anastasia Chasapi, Thomas Cokelaer, Isaac Crespo, Julien Dorier, Andreas Dräger, Céline Hernandez, Michael Hucka, Hidde De Jong, Sarah M. Keating, Steffen Klamt, Hannes Klarner, Reinhard Laubenbacher, Nicolas Le Novère, Anne Niknejad, Nicolas Rodriguez, Heike Siebert, Gautier Stoll, Jorge G.T. Zañudo., 2015, Bioinformatics on p. 1154-1159

Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers

David J. Wooten, Sarah M. Groves, Darren R. Tyson, Qi Liu, Jing S. Lim, Réka Albert, Carlos F. Lopez, Julien Sage, Vito Quaranta, 2019, PLoS Computational Biology on p. e1007343

Multi-level Modeling of Light-Induced Stomatal Opening Offers New Insights into Its Regulation by Drought

Zhongyao Sun, Xiaofen Jin, Réka Albert, Sarah M. Assmann, 2014, PLoS Computational Biology on p. e1003930