An Improved Satisfiability Algorithm for Nested Canalyzing Functions and its Application to Determining a Singleton Attractor of a Boolean Network

作者：Melkman Avraham A; Akutsu Tatsuya^*

来源：Journal of Computational Biology, 2013, 20(12): 958-969.

DOI：10.1089/cmb.2013.0060

• SAT
• Boolean network
• singleton attractor
• nested canalyzing function

We study the problem of finding a 0-1 assignment to Boolean variables satisfying a given set of nested canalyzing functions, a class of Boolean functions that is known to be of interest in biology. For this problem, an extension of the satisfiability problem for a conjunctive normal form formula, an O(min(2(k), 2((k+m)/2))poly(m)) time algorithm has been known, where m and k are the number of nested canalyzing functions and variables, respectively. Here we present an improved O(min(2(k), 1.325(k+m), 2(m))poly(m)) time algorithm for this problem. We also study the problem of finding a singleton attractor of a Boolean network consisting of n nested canalyzing functions. Although an O(1.799(n)) time algorithm was proposed in a previous study, it was implicitly assumed that the network does not contain any positive self-loops. By utilizing the improved satisfiability algorithm for nested canalyzing functions, while allowing for the presence of positive self-loops, we show that the general case can be solved in O(1.871(n)) time.

• 出版日期2013-12-1