Design principles for robust multistability in coupled feedforward-feedback regulatory circuits

= 729 possible circuits, corresponding to three possible states (activation, inhibition, or absence) for each of six feedback edges, formulate each circuit as a system of ordinary differential equations, and quantify robustness as the proportion of 100,000 randomly sampled parameter sets exhibiting multistability. Our results reveal two key principles. First, positive self-activation is a primary driver of multistability, but the identity of the critical node(s) depends on the FFL type and logic. Second, coherent FFLs support multistability more readily than incoherent ones, whereas the choice between AND and OR logic has a comparatively weaker effect. Notably, we identify representative high-performing circuits within each framework and find that a small set of circuit designs remain robustly multistable across all four frameworks. These findings advance the theoretical understanding of motif design and provide practical guidelines for engineering synthetic multistable circuits.

Authors

Institutions

Publication Details

Journal
npj Systems Biology and Applications
Published
2026-05-02
DOI
https://doi.org/10.1038/s41540-026-00731-1
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design principles for robust multistability in coupled feedforward-feedback regulatory circuits

Yu-Song Yin, Hong Qi, Chen Jia, Xiang Li et al.
npj Systems Biology and Applications
Low-power high-performance VLSI design
article

Design principles for robust multistability in coupled feedforward-feedback regulatory circuits

Yu-Song Yin, Hong Qi, Chen Jia, Xiang Li, Zhi-Yu Zhao, Lei Zhang
article en

Abstract

= 729 possible circuits, corresponding to three possible states (activation, inhibition, or absence) for each of six feedback edges, formulate each circuit as a system of ordinary differential equations, and quantify robustness as the proportion of 100,000 randomly sampled parameter sets exhibiting multistability. Our results reveal two key principles. First, positive self-activation is a primary driver of multistability, but the identity of the critical node(s) depends on the FFL type and logic. Second, coherent FFLs support multistability more readily than incoherent ones, whereas the choice between AND and OR logic has a comparatively weaker effect. Notably, we identify representative high-performing circuits within each framework and find that a small set of circuit designs remain robustly multistable across all four frameworks. These findings advance the theoretical understanding of motif design and provide practical guidelines for engineering synthetic multistable circuits.

npj Systems Biology and Applications
Shanxi University (CN), Xiamen University (CN), Peking University (CN), Peking University International Hospital (CN), Beijing Computational Science Research Center (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Low-power high-performance VLSI design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.