Evidence map›Paper›PMID 41063332›Full record

ArticleACS synthetic biology2025

Automated Strain Construction for Biosynthetic Pathway Screening in Yeast.

Maria C T Astolfi, Sam D Yoder, Marina Delfa-Lalaguna, Peter H Winegar, Sara K F Holm, Mengziang Lei, Xixi Zhao, Stephen E Tan, Randy Louie, Nathan J Hillson and 2 more

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Advances in Machine Learning Models for Predicting Enzyme Kinetic Parameters.Journal of chemical information and modeling · 2026
    Review
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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

12 authors.

Maria C T AstolfiDepartment of Bioengineering, University of California, Berkeley, Berkeley, California 94720, United States.
Sam D YoderJoint BioEnergy Institute, Emeryville, California 94608, United States.
Marina Delfa-LalagunaJoint BioEnergy Institute, Emeryville, California 94608, United States.
Peter H WinegarJoint BioEnergy Institute, Emeryville, California 94608, United States.ORCID 0000-0003-0984-4990
Sara K F HolmJoint BioEnergy Institute, Emeryville, California 94608, United States.
Mengziang LeiJoint BioEnergy Institute, Emeryville, California 94608, United States.
Xixi ZhaoJoint BioEnergy Institute, Emeryville, California 94608, United States.
Stephen E TanJoint BioEnergy Institute, Emeryville, California 94608, United States.
Randy LouieJoint BioEnergy Institute, Emeryville, California 94608, United States.
Nathan J HillsonJoint BioEnergy Institute, Emeryville, California 94608, United States.ORCID 0000-0002-9169-3978
Graham A HudsonJoint BioEnergy Institute, Emeryville, California 94608, United States.ORCID 0000-0002-3715-4279
Jay D KeaslingDepartment of Bioengineering, University of California, Berkeley, Berkeley, California 94720, United States.ORCID 0000-0003-4170-6088

Funding

Iterative Microbial Production and Systems Immunology to Design QS-21 AdjuvantsR01AI186111 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI JAY D KEASLING, Harshini Mukundan · 2024 to 2026
$2.6M
Biosynthesis of Cyclopamine and New-to-Nature Triterpenoids in YeastF32GM153046 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Peter Henry Winegar · 2024 to 2026
$229k
NIAID NIH HHS R01 AI186111NIGMS NIH HHS F32 GM153046
6 · The paper itself

Abstract

Automation accelerates the Design-Build-Test-Learn (DBTL) cycle for synthetic biology; however, most strain construction pipelines lack robotic integration. Here, we present the workflow design and source code for a modular, integrated protocol that automates the Build step in

Indexed as

Biosynthetic PathwaysSaccharomyces cerevisiaeSynthetic BiologyAutomationGene LibraryMetabolic EngineeringSoftwareautomationhigh-throughput screenmetabolic engineeringmicrobial biosynthesisrobotics integrationstrain engineering

Identifiers

PMID41063332
PMCPMC12611344

What OpenQuestion holds

Textmetadata
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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.