Evidence map›Paper›PMID 41210175›Full record

ArticlemicroPublication biology2025

Synthetic

Clayton Dilks, Rhiannon LaVine, Claire Buchanan, Daniel Russo, Elizabete Carmo-Silva

Abstract read
In one paragraph

Article in microPublication biology, 2025. 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

5 authors.

Clayton DilksEvozyne Inc, Chicago, Illinois, United States.
Rhiannon LaVineEvozyne Inc, Chicago, Illinois, United States.
Claire BuchananEvozyne Inc, Chicago, Illinois, United States.
Daniel RussoEvozyne Inc, Chicago, Illinois, United States.
Elizabete Carmo-SilvaEnvironment Centre, Lancaster University, Lancaster, England, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptation to increasing environmental temperatures is essential to plant survival and human food production. Thermal tolerance is controlled by a complex network of factors in plants including but not limited to genetic variation and environmental context. Rubisco activase (Rca) is a key photosynthetic enzyme with low thermal tolerance. Here, we report a large machine learning-directed screen of >1,400 synthetic cassava Rca enzymes which identified mutations that convey increased thermal stability while minimizing introduced mutations. We demonstrate multiple synthetic proteins that maintain activity at 8°C higher than wildtype cassava Rca including a single mutation that retains most activity post heat-shock.

Identifiers

PMID41210175
PMCPMC12595521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.