Evidence map›Paper›PMID 34254127›Full record

ArticleIntegrative and comparative biology2022

From Flatland to Jupiter: Searching for Rules of Interaction Across Biological Scales.

Claudia A Grillo, Mandë Holford, Nils G Walter

Abstract read
In one paragraph

Article in Integrative and comparative biology, 2022. 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.

Claudia A GrilloDepartment of Pharmacology, Physiology and Neuroscience, School of Medicine - University of South Carolina, 6439 Garners Ferry Rd, Columbia, SC 29209, USA.
Mandë HolfordDepartment of Chemistry, Hunter College, 413 E. 69th Street, NY, NY 10065, USA; Programs in Chemistry, Biochemistry, and Biology, CUNY Graduate Center, 65 5th Ave, New York, NY 10016, USA; Department of Invertebrate Zoology, American Museum of Natural History, 79th Street and Central Park West, NY, NY 10024, USA; Department of Biochemistry, Weill Cornell Medicine, 1300 York Ave, NY, NY 10065, USA.
Nils G WalterDepartment of Chemistry and Center for RNA Biomedicine, 930 North University Avenue, University of Michigan, Ann Arbor, MI 48109-1055, USA.ORCID 0000-0002-7301-1275

Funding

Basic and Translational Research Center for Reducing Health DisparitiesG12MD007599 · NIMHD · HUNTER COLLEGE · PI ANGULO, JESUS A · 2012 to 2017
$14.6M
The RNA nanomachines of the gene expression machinery dissected at the single molecule levelR35GM131922 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NILS G WALTER · 2019 to 2026
$6.9M
NIGMS NIH HHS R35 GM131922NIMHD NIH HHS G12 MD007599
6 · The paper itself

Abstract

In this future-spanning perspective, we examine how an agent-based model could be used to define general rules for interactions across biological systems and evolutionary time. To date, there have been a number of attempts to simulate the emergence of ecological communities using agent-based models of individuals that have evolving traits. Here we speculate whether it is possible to use this computational modeling to simulate self-organizing systems and, importantly, to decipher universal principles that govern biological interactions. This perspective is a thought exercise, meant to extrapolate from current knowledge to how we may make Jupiter-shot leaps to further advance the biosciences in the 21st century.

Indexed as

Physical Conditioning, AnimalAnimalsBiological EvolutionComputer SimulationModels, BiologicalPhenotype

Identifiers

PMID34254127
PMCPMC8825870

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.