Variational kinetics: elementary reaction kinetics via conic optimisation.

Ronan M T Fleming, Ines Thiele

Abstract readPreprint

In one paragraph

Article in ArXiv, 2026. 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

2 authors.

Ronan M T FlemingDigital Metabolic Twin Centre, University of Galway, University Road, Galway, Ireland.

Ines ThieleDigital Metabolic Twin Centre, University of Galway, University Road, Galway, Ireland.

Funding

Multiscale Molecular Systems Biology: Reconstruction and Model OptimizationU01GM102098 · NIGMS · STANFORD UNIVERSITY · PI SAUNDERS, MICHAEL ALAN · 2012 to 2016

$1.8M

NIGMS NIH HHS U01 GM102098

6 · The paper itself

Abstract

Genome-scale modelling methods primarily predict reaction fluxes, whereas established high throughput experimental technologies primarily measure molecular species concentrations. This apparently paradoxical situation has arisen because implementing the nonlinear constraints that represent reaction kinetic rate equations is challenging without resorting to convenient yet inaccurate approximations or to expansions that are valid only near a reference state. We present a mathematically and computationally tractable solution to this problem. First, we introduce a mathematical reformulation of established knowledge of metabolic reactions and reaction kinetics in matrix-vector notation. We then present

Indexed as

conic optimisationelementary reaction kineticsexponential conegenome-scale metabolic modelVariational kinetics

Identifiers

PMID42619880

PMCPMC13484415

What OpenQuestion holds

Textmetadata

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.