MCA: Boolean Networks Control Algorithm

TL;DR

This paper introduces a new algorithm for controlling Boolean networks, effectively transforming undesirable biological states into healthy ones, with faster performance demonstrated on real gene regulatory networks.

Contribution

The paper presents a novel control algorithm for Boolean networks, improving speed while maintaining accuracy in biological system applications.

Findings

Faster control solutions for Boolean networks.

Effective intervention in gene regulatory networks.

Comparable accuracy to existing methods.

Abstract

Control problem in a biological system is the problem of finding an interventional policy for changing the state of the biological system from an undesirable state, e.g. disease, into a desirable healthy state. Boolean networks are utilized as mathematical model for gene regulatory networks. This paper provides an algorithm to solve the control problem in Boolean networks. The proposed algorithm is implemented and applied on two biological systems: T-cell receptor network and Drosophila melanogaster network. Results show that the proposed algorithm works faster in solving the control problem over these networks, while having similar accuracy, in comparison to previous methods.