Abstract
Chronic illnesses are poorly understood diseases that are often highly resistant to treatment. The prevalence and severity of these illnesses necessitates new methods for treatment development that diverge from the paradigm of one drug, one illness. Instead, multidrug interventions that utilize repurposable, previously approved drugs could be far more advantageous. In order to support this, a novel scoring framework and accompanying set of tools, collectively termed DrugAble, have been developed. DrugAble scores proposed, model-based treatment target solutions by analyzing drug-target interaction data and addressing the network complexity of these solutions. Actionability scores that summarize the likelihood of a proposed target set constituting a pharmacologically accessible path to remission are generated. Additionally, DrugAble proposes combinations of repurposable drugs that can potentially be used in tandem to achieve remission. Here, DrugAble is demonstrated on molecular target solutions supporting an escape from Myalgic Encephalomyelitis / Chronic Fatigue Syndrome, a debilitating illness that affects up to 2.5 million Americans alone. DrugAble effectively discriminates between theoretical target sets and those that are clinically actionable using available drugs while simultaneously accounting for drug-target interactions and off-target effects of these drugs. This framework constitutes the necessary first steps to designing more effective treatments for chronic illnesses, with the ultimate goal of reducing the failure rate of clinical trials and the financial burden on both drug developers and patients. Most importantly, it opens new and more immediately accessible paths toward achieving remission and full recovery for those suffering from chronic illnesses
Library of Congress Subject Headings
Chronic diseases--Treatment; Pharmaceutical technology; Drug development
Publication Date
4-3-2020
Document Type
Thesis
Student Type
Graduate
Degree Name
Bioinformatics (MS)
Department, Program, or Center
Thomas H. Gosnell School of Life Sciences (COS)
Advisor
Gordon Broderick
Advisor/Committee Member
Matthew Morris
Advisor/Committee Member
Gary Skuse
Recommended Citation
Richman, Spencer, "Applying Systems Pharmacology to the Treatment of Chronic Illness Using Novel Scoring and Translational Methods" (2020). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/10366
Campus
RIT – Main Campus
Plan Codes
BIOINFO-MS