Evidence map›Paper›PMID 25140607›Full record

ArticleThe journal of physical chemistry. B2014

Stochastic kinetics on networks: when slow is fast.

Xin Li, Anatoly B Kolomeisky, Angelo Valleriani

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Xin LiDepartment of Chemistry and ‡Department of Chemistry and Center for Theoretical Biological Physics, Rice University , Houston, Texas 77005, United States.
Anatoly B Kolomeisky
Angelo Valleriani

Funding

Molecular Mechanisms Governing Cooperating MotorsR01GM094489 · NIGMS · RICE UNIVERSITY · PI DIEHL, MICHAEL R · 2010 to 2014
$1.4M
NIGMS NIH HHS 1R01GM094489-01NIGMS NIH HHS R01 GM094489
6 · The paper itself

Abstract

Most chemical and biological processes can be viewed as reaction networks in which different pathways often compete kinetically for transformation of substrates into products. An enzymatic process is an example of such phenomena when biological catalysts create new routes for chemical reactions to proceed. It is typically assumed that the general process of product formation is governed by the pathway with the fastest kinetics at all time scales. In contrast to the expectation, here we show theoretically that at time scales sufficiently short, reactions are predominantly determined by the shortest pathway (in the number of intermediate states), regardless of the average turnover time associated with each pathway. This universal phenomenon is demonstrated by an explicit calculation for a system with two competing reversible (or irreversible) pathways. The time scales that characterize this regime and its relevance for single-molecule experimental studies are also discussed.

Indexed as

Models, ChemicalStochastic ProcessesAlgorithmsCatalysisEnzymesKineticsProbabilityEnzymes

Identifiers

PMID25140607
PMCPMC4154737

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.