Model-based optimization approaches for precision medicine: A case study in presynaptic dopamine overactivity.

ABSTRACT: Precision medicine considers an individual's unique physiological characteristics as strongly influential in disease vulnerability and in response to specific therapies. Predicting an individual's susceptibility to developing an illness, making an accurate diagnosis, maximizing therapeutic effects, and minimizing adverse effects for treatment are essential in precision medicine. We introduced model-based precision medicine optimization approaches, including pathogenesis, biomarker detection, and drug target discovery, for treating presynaptic dopamine overactivity. Three classes of one-hit and two-hit enzyme defects were detected as the causes of disease states by the optimization approach of pathogenesis. The cluster analysis and support vector machine was used to detect optimal biomarker

SUBMITTER: Hsu KC 

PROVIDER: S-EPMC5470743 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature