Evidence map›Paper›PMID 32995518›Full record

ArticleSynthetic biology (Oxford, England)2018

Hybrid semiparametric systems for quantitative sequence-activity modeling of synthetic biological parts.

Rui M C Portela, Moritz von Stosch, Rui Oliveira

Abstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2018. 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.

Rui M C PortelaREQUIMTE/LAQV, Departamento de Química, Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa, Caparica, Portugal.
Moritz von StoschCEAM Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne, UK.
Rui OliveiraREQUIMTE/LAQV, Departamento de Química, Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa, Caparica, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the activity of modified biological parts is difficult due to the typically large size of nucleotide sequences, resulting in combinatorial designs that suffer from the "curse of dimensionality" problem. Mechanistic design methods are often limited by knowledge availability. Empirical methods typically require large data sets, which are difficult and/or costly to obtain. In this study, we explore for the first time the combination of both approaches within a formal hybrid semiparametric framework in an attempt to overcome the limitations of the current approaches. Protein translation as a function of the 5' untranslated region sequence in

Indexed as

Escherichia colihybrid semiparametric systemsquantitative sequence-activity modelingribosome binding site (RBS)standard biological parts

Identifiers

PMID32995518
PMCPMC7513808

What OpenQuestion holds

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Registered trials

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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.