Evidence map›Paper›PMID 35425948›Full record

ArticleProceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...2020

Bhuvana Krishnaswamy, Megan N McClean

Abstract read
In one paragraph

Article in Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :..., 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Bhuvana KrishnaswamyUniversity of Wisconsin-Madison.
Megan N McCleanUniversity of Wisconsin-Madison.

Funding

Elucidating the network design principles of biological signal processingR35GM128873 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Megan N McClean · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128873
6 · The paper itself

Abstract

Molecules and combinations of molecules are the natural communication currency of microbes; microbes have evolved and been engineered to sense a variety of compounds, often with exquisite sensitivity. The availability of microbial biosensors, combined with the ability to genetically engineer biological circuits to process information, make microbes attractive bionanomachines for propagating information through molecular communication (MC) networks. However, MC networks built entirely of biological components suffer a number of limitations. They are extremely slow due to processing and propagation delays and must employ simple algorithms due to the still limited computational capabilities of biological circuits. In this work, we propose a hybrid bio-electronic framework which utilizes biological components for sensing but offloads processing and computation to traditional electronic systems and communication infrastructure. This is achieved by using tools from the burgeoning field of optogenetics to trigger biosensing through an optoelectronic interface, alleviating the need for computation and communication in the biological domain.

Indexed as

Bio-electronic frameworkBiological nanomachinesHardware → Bio-embedded electronics;Molecular communicationNetworks → Network protocol designOptogenetics

Identifiers

PMID35425948
PMCPMC9006593

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.