Details

Autor(en) / Beteiligte

• Araujo, Robyn P
• Liotta, Lance A
• Csikász-Nagy, Attila

Titel

Only a topological method can identify all possible network structures capable of Robust Perfect Adaptation

Ist Teil von

• PLoS computational biology, 2023-11, Vol.19 (11), p.e1011638-e1011638

Ort / Verlag

San Francisco: Public Library of Science

Erscheinungsjahr

2023

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. [8] which claims to ‘discover’ RPA-capable biological network structures using control theoretic approaches. Since we ourselves had previously published a complete solution space for all possible RPA-capable network architectures, we would like to provide some additional clarification on this new article [8] in the context of our more general and comprehensive prior study [4]. First and foremost, we acknowledge that the Bhattacharya et al. article [8] develops a systematic control-theoretic approach, along with an analysis of stability, which is able to identify a variety of RPA-capable network structures in addition to requirements for non-zero sensitivity in these networks. E. An Opposer module with a three-node opposing set embedded into the feedback segment of the module. https://doi.org/10.1371/journal.pcbi.1011638.g001 The distinguishing feature of all Opposer modules is the existence of at least one special computational node whose ‘kinetic multiplier’ [4] (a real-valued function associated to each node in a network, which encodes important mathematical properties of the reaction kinetics at the node [4]) vanishes everywhere on the steady-state locus of the system.