Network-Based Disease Module Discovery by a Novel Seed Connector Algorithm with Pathobiological Implications.

ABSTRACT: Understanding the genetic basis of complex diseases is challenging. Prior work shows that disease-related proteins do not typically function in isolation. Rather, they often interact with each other to form a network module that underlies dysfunctional mechanistic pathways. Identifying such disease modules will provide insights into a systems-level understanding of molecular mechanisms of diseases. Owing to the incompleteness of our knowledge of disease proteins and limited information on the biological mediators of pathobiological processes, the key proteins (seed proteins) for many diseases appear scattered over the human protein-protein interactome and form a few small branches, rather than coherent network modules. In this paper, we develop a network-based algorithm, called the Seed Co

SUBMITTER: Wang RS 

PROVIDER: S-EPMC6097931 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature