Reka Albert
Distinguished Professor of Physics and Biology
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152E Davey Laboratory
University Park, PA 16802 - rza1@psu.edu
- 814-865-1141
Research Summary
Biological physics and network modeling.
Huck Affiliations
- Center for Infectious Disease Dynamics
- Bioinformatics and Genomics
- Center for Mathematical Biology
- Insect Biodiversity Center
Links
Most Recent Publications
A network-based modeling framework reveals the core signal transduction network underlying high carbon dioxide-induced stomatal closure in guard cells
Xiao Gan, P Sengottaiyan, Kyu Park, Sarah M. Assmann, Reka Albert, 2024, PLoS Biology on p. e3002592
Modeling and managing behavior change in groups: A Boolean network method
Xiao Yang, Reka Albert, Lauren Molloy Elreda, N Ram, 2024, advances. in/psychology on p. 31
Boolean Networks as Predictive Models of Emergent Biological Behaviors
Jordan Rozum, Colin Campbell, Eli Newby, Fatemeh Sadat Fatemi Nasrollahi, Reka Albert, 2024,
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
Most-Cited Papers
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
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
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
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
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
A new discrete dynamic model of ABA-induced stomatal closure predicts key feedback loops
Réka Albert, Biswa R. Acharya, Byeong Wook Jeon, Jorge G.T. Zañudo, Mengmeng Zhu, Karim Osman, Sarah M. Assmann, 2017, PLoS Biology on p. e2003451
Discrete dynamic network modeling of oncogenic signaling: Mechanistic insights for personalized treatment of cancer
Jorge G.T. Zañudo, Steven N. Steinway, Réka Albert, 2018, Current Opinion in Systems Biology on p. 1-10
Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition
Jorge Gómez Tejeda Zañudo, M. Tyler Guinn, Kevin Farquhar, Mariola Szenk, Steven N. Steinway, Gábor Balázsi, Réka Albert, 2019, Physical Biology
News Articles Featuring Reka Albert
May 06, 2024
Five faculty members honored with Evan Pugh University Professorships
Five Penn State professors—including Huck-affiliated faculty members Reka Albert, Vijaykrishnan Narayanan, and Clive Randall—have been named Evan Pugh University Professors, an elite and prestigious distinction conferred by the University on only 79 faculty members since the establishment of the designation in 1960.
Full Article
May 03, 2024
Réka Albert named Evan Pugh University Professor
Réka Albert, distinguished professor of physics and biology at Penn State, has been named an Evan Pugh University Professor, the highest honor that Penn State bestows on a faculty member.
Full Article
Nov 26, 2019
Fourteen Penn State faculty recognized with lifetime honor
Fourteen Penn State faculty members in areas ranging from physics and engineering to entomology and plant science have been named fellows of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society. A lifetime honor bestowed upon members by their peers, a total of 443 individuals are being recognized for their extraordinary achievements in advancing science.
Full Article