Evidence map›Paper›PMID 21419158›Full record

ReviewProgress in biophysics and molecular biology2011

Mathematical descriptions of biochemical networks: stability, stochasticity, evolution.

Simon Rosenfeld

Abstract readReview
In one paragraph

Review in Progress in biophysics and molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Functional Implications of Cardiac Mitochondria Clustering.Advances in experimental medicine and biology · 2017
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Systems biology and cancer.Progress in biophysics and molecular biology · 2011
    Article
  9. 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

1 author.

Simon RosenfeldNational Cancer Institute, 6130 Executive Blvd., EPN, Rm 3108, Rockville, MD 20852, USA. sr212a@nih.gov

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

In this paper, we review some fundamental aspects, as well as some new developments, in the emerging field of network biology. The focus of attention is placed on mathematical approaches to conceptual modeling of biomolecular networks with special emphasis on dynamic stability, stochasticity and evolution.

Indexed as

Biological EvolutionModels, BiologicalStochastic ProcessesBiochemical PhenomenaCellular MicroenvironmentComputational BiologyComputer SimulationHumansNonlinear DynamicsSystems Biology

Identifiers

PMID21419158
PMCPMC3154973

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.