Evidence map›Paper›PMID 38260415›Full record

ArticlebioRxiv : the preprint server for biology2024

Inferring strain-level mutational drivers of phage-bacteria interaction phenotypes arising during coevolutionary dynamics.

Adriana Lucia-Sanz, Shengyun Peng, Chung Yin Joey Leung, Animesh Gupta, Justin R Meyer, Joshua S Weitz

Open access · greenAbstract 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Adriana Lucia-SanzSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-6680-5472
Shengyun PengAdobe Inc., Palo Alto, California, USA.ORCID 0000-0002-2175-0105
Chung Yin Joey LeungGSK, Stevenage, Herts, United Kingdom.ORCID 0000-0003-0319-4974
Animesh GuptaDepartment of Physics, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-4374-335X
Justin R MeyerDepartment of Ecology, Behavior and Evolution, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-5566-8452
Joshua S WeitzDepartment of Biology, University of Maryland, College Park, MD, USA.ORCID 0000-0002-3433-8312
University of California San Diego · USAdobe Systems (United States) · USAge UK · GBFoundation for the National Institutes of Health · USGeorgia Institute of Technology · US

Funding

Synergistic control of acute respiratory pathogens by bacteriophage and the innate immune responseR01AI146592 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI DEBARBIEUX, LAURENT, WEITZ, JOSHUA · 2019 to 2023
$2.4M
NIAID NIH HHS R01 AI146592
6 · The paper itself

Abstract

The enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge to predict which phages infect a focal set of bacteria. Infection is largely determined by complementary - and largely uncharacterized - genetics of adsorption, injection, cell take-over and lysis. Here we present a machine learning approach to predict phage-bacteria interactions trained on genome sequences of and phenotypic interactions amongst 51

Identifiers

PMID38260415
PMCPMC10802490
OpenAlexW4390788153

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.