Evidence map›Paper›PMID 38341333›Full record

ArticleTrends in biochemical sciences2024

Interlinked switch circuits of biological intelligence.

Raktim Mukherjee, Saptarshi Sinha, Gary D Luker, Pradipta Ghosh

Open access · hybridAbstract read
In one paragraph

Article in Trends in biochemical sciences, 2024. 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, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Raktim MukherjeeDepartment of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA.
Saptarshi SinhaDepartment of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA.
Gary D LukerDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Immunology Program, University of Michigan, Ann Arbor, MI, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.
Pradipta GhoshDepartment of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA; Department of Medicine, University of California, San Diego, CA, 92093, USA. Electronic address: prghosh@ucsd.edu.
University of California San Diego · USUniversity of Michigan · US

Funding

Spatial Regulation of RGS and G Protein SignalingR01CA100768 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 2003 to 2019
$7.4M
Integrators of Metastatic PotentialR01CA238042 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA, LUKER, GARY D · 2019 to 2023
$2.3M
Modulation of G proteins by Growth FactorsR01CA160911 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 2013 to 2017
$1.8M
NCI NIH HHS R01 CA100768NCI NIH HHS R01 CA160911NCI NIH HHS R01 CA238042
6 · The paper itself

Abstract

Eukaryotic cells learn and adapt via unknown network architectures. Recent work demonstrated a circuit of two GTPases used by cells to overcome growth factor scarcity, encouraging our view that artificial and biological intelligence share strikingly similar design principles and that cells function as deep reinforcement learning (RL) agents in uncertain environments.

Indexed as

GTP PhosphohydrolasesSignal TransductionGTP Phosphohydrolasesbiological feedbackepidermal growth factor receptor (EGFR)guanine nucleotide-exchange modulators (GEMs)Ras superfamily GTPase switchesreinforcement learningtrimeric GTPase switches

Identifiers

PMID38341333
PMCPMC13277709
OpenAlexW4391681774

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.