Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy.

ABSTRACT: BACKGROUND:Muscle atrophy, an involuntary loss of muscle mass, is involved in various diseases and sometimes leads to mortality. However, therapeutics for muscle atrophy thus far have had limited effects. Here, we present a new approach for therapeutic target prediction using Petri net simulation of the status of phosphorylation, with a reasonable assumption that the recovery of abnormally phosphorylated proteins can be a treatment for muscle atrophy. RESULTS:The Petri net model was employed to simulate phosphorylation status in three states, i.e. reference, atrophic and each gene-inhibited state based on the myocyte-specific phosphorylation network. Here, we newly devised a phosphorylation specific Petri net that involves two types of transitions (phosphorylation or de-phosphorylation) an

SUBMITTER: Jung J 

PROVIDER: S-EPMC5838966 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature