Evidence map›Paper›PMID 31024611›Full record

SynthesisFrontiers in genetics2019

On the Origin of Biomolecular Networks.

Heeralal Janwa, Steven E Massey, Julian Velev, Bud Mishra

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

12 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. In Silico Analysis of the Effect ofMedicina (Kaunas, Lithuania) · 2023
    Article
  4. Genetic networks encode secrets of their past.Journal of theoretical biology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Insight into the structures of Interleukin-18 systems.Computational biology and chemistry · 2020
    Article
  11. Article
  12. 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

4 authors at 2 institutions in 2 countries.

Heeralal JanwaDepartment of Mathematics, University of Puerto Rico, San Juan, PR, United States.
Steven E MasseyDepartment of Biology, University of Puerto Rico, San Juan, PR, United States.
Julian VelevDepartment of Physics, University of Puerto Rico, San Juan, PR, United States.
Bud MishraDepartments of Computer Science, Mathematics and Cell Biology, Courant Institute and NYU School of Medicine, New York University, New York City, NY, United States.
University of Puerto Rico System · PRCourant Institute of Mathematical Sciences · US

Funding

Topology of Cancer Evolution and HeterogeneityU54CA193313 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2015 to 2020
$10.4M
NCI NIH HHS U54 CA193313
6 · The paper itself

Abstract

Biomolecular networks have already found great utility in characterizing complex biological systems arising from pairwise interactions amongst biomolecules. Here, we explore the important and hitherto neglected role of information asymmetry in the genesis and evolution of such pairwise biomolecular interactions. Information asymmetry between sender and receiver genes is identified as a key feature distinguishing early biochemical reactions from abiotic chemistry, and a driver of network topology as biomolecular systems become more complex. In this context, we review how graph theoretical approaches can be applied not only for a better understanding of various proximate (mechanistic) relations, but also, ultimate (evolutionary) structures encoded in such networks from among all types of variations they induce. Among many possible variations, we emphasize particularly the essential role of gene duplication in terms of

Indexed as

biomoleculesinteraction (binary) relationshipnetwork analysisnetwork modelregulation and communicationspectral analysis

Identifiers

PMID31024611
PMCPMC6467946
OpenAlexW2902232269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.