Evidence map›Paper›PMID 32069848›Full record

ArticleLife (Basel, Switzerland)2020

Quantifying the Performance of Micro-Compartmentalized Directed Evolution Protocols.

Adèle Dramé-Maigné, Anton S Zadorin, Iaroslava Golovkova, Yannick Rondelez

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2020. 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

4 authors.

Adèle Dramé-MaignéLaboratoire Gulliver, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France.ORCID 0000-0003-3586-0361
Anton S ZadorinLaboratoire Gulliver, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France.
Iaroslava GolovkovaLaboratoire Gulliver, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France.
Yannick RondelezLaboratoire Gulliver, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France.

Funding

European Research Council 647275
6 · The paper itself

Abstract

High-throughput, in vitro approaches for the evolution of enzymes rely on a random micro-encapsulation to link phenotypes to genotypes, followed by screening or selection steps. In order to optimise these approaches, or compare one to another, one needs a measure of their performance at extracting the best variants of a library. Here, we introduce a new metric, the Selection Quality Index (SQI), which can be computed from a simple mock experiment, performed with a known initial fraction of active variants. In contrast to previous approaches, our index integrates the effect of random co-encapsulation, and comes with a straightforward experimental interpretation. We further show how this new metric can be used to extract general protocol efficiency trends or reveal hidden selection mechanisms such as a counterintuitive form of beneficial poisoning in the compartmentalized self-replication protocol.

Indexed as

directed evolutionenrichment factorself-selection

Identifiers

PMID32069848
PMCPMC7175308

What OpenQuestion holds

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LicenceCC BY
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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.