Evidence map›Paper›PMID 34813269›Full record

ArticleACS synthetic biology2021

Accelerating Whole-Cell Simulations of mRNA Translation Using a Dedicated Hardware.

David Shallom, Danny Naiger, Shlomo Weiss, Tamir Tuller

Abstract read
In one paragraph

Article in ACS synthetic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

David ShallomSchool of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Danny NaigerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Shlomo WeissSchool of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Tamir TullerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.ORCID 0000-0003-4194-7068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, intracellular biophysical simulations have been used with increasing frequency not only for answering basic scientific questions but also in the field of synthetic biology. However, since these models include networks of interaction between millions of components, they are extremely time-consuming and cannot run easily on parallel computers. In this study, we demonstrate for the first time a novel approach addressing this challenge by using a dedicated hardware designed specifically to simulate such processes. As a proof of concept, we specifically focus on mRNA translation, which is the process consuming most of the energy in the cell. We design a hardware that simulates translation in

Indexed as

ComputersProtein BiosynthesisRibosomesRNA, MessengerSoftwareRNA, MessengerFPGAgene expression optimizationhardware accelerationmRNA translationTASEPwhole-cell translation simulation

Identifiers

PMID34813269
PMCPMC8689694

What OpenQuestion holds

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LicenceCC BY
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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.