Evidence map›Paper›PMID 35927274›Full record

ArticleNature communications2022

Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning.

Jonathan C Chen, Jonathan P Chen, Max W Shen, Michael Wornow, Minwoo Bae, Wei-Hsi Yeh, Alvin Hsu, David R Liu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 1 institution in 1 country.

Jonathan C ChenMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0003-4346-0501
Jonathan P ChenWork conducted at Uber AI Labs, Uber Technologies, Inc., San Francisco, CA, USA.
Max W ShenMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0002-4226-1861
Michael WornowMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Minwoo BaeMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Wei-Hsi YehMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0001-7507-8177
Alvin HsuMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0003-4034-2788
David R LiuMerkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA. drliu@fas.harvard.edu.ORCID 0000-0002-9943-7557
Broad Institute · US

Funding

Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel TherapeuticsR35GM118062 · NIGMS · HARVARD UNIVERSITY · PI LIU, DAVID R · 2016 to 2025
$6.4M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Howard Hughes Medical InstituteNHGRI NIH HHS RM1 HG009490NIGMS NIH HHS R35 GM118062NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

In vitro selection queries large combinatorial libraries for sequence-defined polymers with target binding and reaction catalysis activity. While the total sequence space of these libraries can extend beyond 10

Indexed as

Nucleic AcidsBiopolymersDaunorubicinMachine LearningPolymersBiopolymersDaunorubicinNucleic AcidsPolymers

Identifiers

PMID35927274
PMCPMC9352670
OpenAlexW4289783536

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.