Recently, researchers from the Center for Computational Biology of the College of Biological Sciences and Technology of Beijing Forestry University published a paper entitled "A personalized pharmaco-epistatic network model of precision medicine" in the internationally renowned journal Drug Discovery Today (Q1, IF: 8.369) . Ph.D student Feng Li is the first author, and Professor Wu Rongling is the corresponding author.

Precision medicine, the utilization of targeted treatments to address an individual’s disease, relies on knowledge about the genetic cause of that individual’s drug response. Here, we present a functional graph (FunGraph) theory to chart comprehensive pharmacogenetic architecture for each and every patient. FunGraph is the combination of functional mapping – a dynamic model for genetic mapping and evolutionary game theory guiding interactive strategies. It coalesces all pharmacogenetic factors into multilayer and multiplex networks that fully capture bidirectional, signed and weighted epistasis. It can visualize and interrogate how epistasis moves in the cell and how this movement leads to patient- and context-specific genetic architecture in response to organismic physiology. The future implementation of FunGraph to achieve precision medicine is discussed in the paper.

Paper link: https://www.sciencedirect.com/science/article/pii/S1359644623001241