Evidence map›Paper›PMID 39484523›Full record

ArticlebioRxiv : the preprint server for biology2024

Evolutionary-Scale Enzymology Enables Biochemical Constant Prediction Across a Multi-Peaked Catalytic Landscape.

Duncan F Muir, Garrison P R Asper, Pascal Notin, Jacob A Posner, Debora S Marks, Michael J Keiser, Margaux M Pinney

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

7 authors.

Duncan F MuirDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0170-5937
Garrison P R AsperDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.ORCID 0009-0005-6708-2826
Pascal NotinDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1877-8983
Jacob A PosnerDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.ORCID 0009-0001-6461-8876
Debora S MarksDepartment of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9388-2281
Michael J KeiserDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1240-2192
Margaux M PinneyDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7735-5032

Funding

Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolutionR01CA260415 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KRUSE, ANDREW, LIU, CHANG C · 2020 to 2024
$8.4M
Leveraging Adaptive Evolution and High-Throughput Techniques to Dissect the Link Between Biochemical Function and FitnessDP5OD033413 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PINNEY, MARGAUX · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA260415NIH HHS DP5 OD033413
6 · The paper itself

Abstract

Quantitatively mapping enzyme sequence-catalysis landscapes remains a critical challenge in understanding enzyme function, evolution, and design. Here, we expand an emerging microfluidic platform to measure catalytic constants-

Identifiers

PMID39484523
PMCPMC11526920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.