title: Proteome-genome complexity as a metric of refractory disease.
abstract: Treatment decisions for refractory diseases are frequently challenging because the benefits of disease-free survival and relief of symptoms must be balanced against the severity and frequency of side effects. A precise measure of disease resistance would therefore be valuable when assessing possible treatment strategies. In recent years there has been much interest in the modeling of proteomes and genomes as a means of identifying major pathways of disease causation. We suggest that these analyses may offer the additional benefit of quantifying refractory.
authors.affiliation: Brookdale University Hospital and Medical Center, One Brookdale Plaza, Brooklyn, NY 11212, United States. Electronic address: vkgulati01@gmail.com.
authors.forename: Vishal
authors.initials: V
authors.lastname: Gulati
authors.affiliation: Department of Anthropology, University of Central Florida, Orlando, FL 32816, United States. Electronic address: Ronald.Wallace@ucf.edu.
authors.forename: Ron
authors.initials: R
authors.lastname: Wallace
mesh_terms: D002908:Chronic Disease; D016678:Genome / Q000235:genetics*; D006801:Humans; D008957:Models, Genetic; D020543:Proteome / Q000235:genetics*; D015398:Signal Transduction / Q000235:genetics*
chemical_list: D020543:Proteome
keywords: Boolean networks; Complexity; Genomics; Network medicine; Proteomics; Refractory disease