Evidence map›Paper›PMID 25600138›Full record

ArticleMathematical biosciences2015

Sharper graph-theoretical conditions for the stabilization of complex reaction networks.

Daniel Knight, Guy Shinar, Martin Feinberg

Abstract read
In one paragraph

Article in Mathematical biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel KnightThe William G. Lowrie Department of Chemical & Biomolecular Engineering, Koffolt Laboratories, Ohio State University, Columbus, OH 43210, USA. Electronic address: knight.326@osu.edu.
Guy ShinarJavelin Medical Ltd., 4 Pekeris St., Rehovot 76702, Israel. Electronic address: shinarg@gmail.com.
Martin FeinbergThe William G. Lowrie Department of Chemical & Biomolecular Engineering, Koffolt Laboratories, Ohio State University, Columbus, OH 43210, USA; Department of Mathematics, Ohio State University, Columbus, OH 43210, USA. Electronic address: feinberg.14@osu.edu.

Funding

Collaborative Research: Multistability in Biological NetworksR01GM086881 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CRACIUN, GHEORGHE · 2008 to 2012
$1.5M
NIGMS NIH HHS R01 GM086881
6 · The paper itself

Abstract

Across the landscape of all possible chemical reaction networks there is a surprising degree of stable behavior, despite what might be substantial complexity and nonlinearity in the governing differential equations. At the same time there are reaction networks, in particular those that arise in biology, for which richer behavior is exhibited. Thus, it is of interest to understand network-structural features whose presence enforces dull, stable behavior and whose absence permits the dynamical richness that might be necessary for life. We present conditions on a network's Species-Reaction Graph that ensure a high degree of stable behavior, so long as the kinetic rate functions satisfy certain weak and natural constraints. These graph-theoretical conditions are considerably more incisive than those reported earlier.

Indexed as

Metabolic Networks and PathwaysBiochemical PhenomenaComputer GraphicsKineticsMathematical ConceptsModels, BiologicalModels, ChemicalBistabilityConcordantMultistabilityReaction networkSpecies-Reaction GraphSystems biology

Identifiers

PMID25600138
PMCPMC4675137

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.