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Thomas J Anastasio

Profile picture for Thomas J Anastasio

Contact Information

Dept of Molecular and Integrative Physiology
524 Burrill Hall
407 S. Goodwin Ave
Urbana, IL 61801

Associate Professor Emeritus of Molecular & Integrative Physiology

Research Interests

Research Topics

Computational Biology, Neurobiology

Disease Research Interests

Drug Discovery, Neurological and Behavioral Disorders

Research Description

Multilevel modeling of neurobiological systems in health and disease.

Many of the most interesting and important neurobiological phenomena, as well as the pathological processes underlying neurological diseases, involve interactions at multiple levels. For example, certain forms of Alzheimer Disease result from mutations in the genes that code for the proteins that process the beta-amyloid peptide, the build-up of which results in the dysfunction and death of neurons, which in turn lead to failure of the neural circuits and brain regions that mediate memory and cognition. Other multilevel processes are implicated in other neurological and psychological disorders. Our work concerns the computational modeling of multilevel neurobiological process, with a current focus on Alzheimer and other neurodegenerative diseases, mood disorders including depression and anxiety, and eating disorders. By representing experimental findings formally as declarations in a computer program, the multilevel physiology and pathophysiology of various neurobiological processes can be explored through simulation and analysis, leading to experimentally testable predictions and new perspectives on possible pharmacological interventions.


B.Sc. 1980 McGill University
Ph.D. 1986 University of Texas, Galveston
Postdoc. 1988 John Hopkins University

Additional Campus Affiliations

Associate Professor Emeritus, Molecular and Integrative Physiology

Recent Publications

Anastasio, A. T., Zinger, B. S., & Anastasio, T. J. (2022). A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair. PloS one, 17(11 November), Article e0276562.

Anastasio, T. J. (2022). Deriving testable hypotheses through an analogy between individual and collective memory. In S. M. O'Mara (Ed.), Collective Memory (1 ed., pp. 99-128). (Progress in Brain Research; Vol. 274, No. 1). Elsevier B.V..

Anastasio, T. J., Demer, J. L., Leigh, R. J., Luebke, A. E., von Opstal, A. J., Optican, L. M., Ramat, S., & Zee, D. S. (2022). Preface. In T. Anastasio (Ed.), David A. Robinson's Modeling the Oculomotor Control System (1 ed., pp. xvii-xviii). (Progress in Brain Research; Vol. 267, No. 1). Elsevier B.V..

Anastasio, T. J. (2021). Predicting the Potency of Anti-Alzheimer’s Drug Combinations Using Machine Learning. Processes, 9(2), 1-17. Article 264.

Camacho, M. B., Vijitbenjaronk, W. D., & Anastasio, T. J. (2020). Computational modeling of the monoaminergic neurotransmitter and male neuroendocrine systems in an analysis of therapeutic neuroadaptation to chronic antidepressant. European Neuropsychopharmacology, 31, 86-99.

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In the news

  • The infinitely complex workings of the human brain have intrigued researchers for centuries. Our understanding of its workings have been limited, not by our curiosity, but by our tools. Now, with the growth of new molecular biology and genomics approaches, big data, and engineering advances that...