TY - JOUR
T1 - A circuit-preserving mapping from multilevel to Boolean dynamics
AU - Fauré, Adrien
AU - Kaji, Shizuo
N1 - Funding Information:
The authors are grateful to Paul Ruet for explaining his result in Ruet (2017) , to Elisa Tonello for fruitful discussion and careful reading of our draft, and to Yuki Ikawa and Sergey Tishchenko for their help in the early stage of this work. The second named author is partially supported by JST PRESTO Grant Number JPMJPR16E3 , Japan.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/3/7
Y1 - 2018/3/7
N2 - Many discrete models of biological networks rely exclusively on Boolean variables and many tools and theorems are available for analysis of strictly Boolean models. However, multilevel variables are often required to account for threshold effects, in which knowledge of the Boolean case does not generalise straightforwardly. This motivated the development of conversion methods for multilevel to Boolean models. In particular, Van Ham's method has been shown to yield a one-to-one, neighbour and regulation preserving dynamics, making it the de facto standard approach to the problem. However, Van Ham's method has several drawbacks: most notably, it introduces vast regions of “non-admissible” states that have no counterpart in the multilevel, original model. This raises special difficulties for the analysis of interaction between variables and circuit functionality, which is believed to be central to the understanding of dynamic properties of logical models. Here, we propose a new multilevel to Boolean conversion method, with software implementation. Contrary to Van Ham's, our method doesn't yield a one-to-one transposition of multilevel trajectories; however, it maps each and every Boolean state to a specific multilevel state, thus getting rid of the non-admissible regions and, at the expense of (apparently) more complicated, “parallel” trajectories. One of the prominent features of our method is that it preserves dynamics and interaction of variables in a certain manner. As a demonstration of the usability of our method, we apply it to construct a new Boolean counter-example to the well-known conjecture that a local negative circuit is necessary to generate sustained oscillations. This result illustrates the general relevance of our method for the study of multilevel logical models.
AB - Many discrete models of biological networks rely exclusively on Boolean variables and many tools and theorems are available for analysis of strictly Boolean models. However, multilevel variables are often required to account for threshold effects, in which knowledge of the Boolean case does not generalise straightforwardly. This motivated the development of conversion methods for multilevel to Boolean models. In particular, Van Ham's method has been shown to yield a one-to-one, neighbour and regulation preserving dynamics, making it the de facto standard approach to the problem. However, Van Ham's method has several drawbacks: most notably, it introduces vast regions of “non-admissible” states that have no counterpart in the multilevel, original model. This raises special difficulties for the analysis of interaction between variables and circuit functionality, which is believed to be central to the understanding of dynamic properties of logical models. Here, we propose a new multilevel to Boolean conversion method, with software implementation. Contrary to Van Ham's, our method doesn't yield a one-to-one transposition of multilevel trajectories; however, it maps each and every Boolean state to a specific multilevel state, thus getting rid of the non-admissible regions and, at the expense of (apparently) more complicated, “parallel” trajectories. One of the prominent features of our method is that it preserves dynamics and interaction of variables in a certain manner. As a demonstration of the usability of our method, we apply it to construct a new Boolean counter-example to the well-known conjecture that a local negative circuit is necessary to generate sustained oscillations. This result illustrates the general relevance of our method for the study of multilevel logical models.
UR - http://www.scopus.com/inward/record.url?scp=85039756090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039756090&partnerID=8YFLogxK
U2 - 10.1016/j.jtbi.2017.12.013
DO - 10.1016/j.jtbi.2017.12.013
M3 - Article
C2 - 29277602
AN - SCOPUS:85039756090
SN - 0022-5193
VL - 440
SP - 71
EP - 79
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -