FAULT DETECTION AND INTERVENTION IN BIOLOGICAL FEEDBACK NETWORKS Academic Article uri icon

abstract

  • The study of diseases such as cancer requires the modeling of gene regulations and the loss of control associated with it. Prior work has shown that the genetic alterations in the system can be suitably modeled using different fault models (like stuck-at faults) in the Boolean Network paradigm. By studying the dynamics of the original and the faulty BN, it is possible to design intervention strategies which could drive the system from a diseased state to a less harmful one. In this paper, the method of detecting faults along with the intervention design demonstrated on a couple of real biological pathways (DNA damage pathways and osmotic stress response pathways).

published proceedings

  • JOURNAL OF BIOLOGICAL SYSTEMS

author list (cited authors)

  • Layek, R., & Datta, A.

citation count

  • 14

complete list of authors

  • Layek, Ritwik||Datta, Aniruddha

publication date

  • December 2012