Identifying “more equal than others” edges in diverse biochemical networks

On the feasibility of dynamical analysis of network models of biochemical regulation

“…Moreover, various computational approaches have been developed and applied to extract the key drivers of collective dynamics of biochemical network models without going through every possible subset of nodes, much less the entire dynamical landscape, in a brute force manner ( Biane and Delaplace, 2019 ; Hari et al , 2021 ; Rozum et al , 2021 ; Su and Pang, 2020 ; Zañudo and Albert, 2015 ). Indeed, scalable methods exist that remove the redundancy of the dynamics of each variable (micro-level) to allow for a characterization of the entire causal macro-level dynamics, in both complete ( Marques-Pita and Rocha, 2013 ) and probabilistic ( Gates et al , 2021 ) manners.…”