Evidence map›Paper›PMID 33344884›Full record

ArticleIn silico plants2020

Within- and cross-species predictions of plant specialized metabolism genes using transfer learning.

Bethany M Moore, Peipei Wang, Pengxiang Fan, Aaron Lee, Bryan Leong, Yann-Ru Lou, Craig A Schenck, Koichi Sugimoto, Robert Last, Melissa D Lehti-Shiu and 2 more

Abstract read
In one paragraph

Article in In silico plants, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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.

Bethany M MooreDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-2104-7292
Peipei WangDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.
Pengxiang FanDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.
Aaron LeeDepartment of Biology, The College of New Jersey, Ewing, NJ, USA.
Bryan LeongDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.
Yann-Ru LouDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.
Craig A SchenckDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.
Koichi SugimotoMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI, USA.
Robert LastDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.
Melissa D Lehti-ShiuDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.
Cornelius S BarryDepartment of Horticulture, Michigan State University, East Lansing, MI, USA.
Shin-Han ShiuDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0001-6470-235X

Funding

Plant Biotechnology for Health and SustainabilityT32GM110523 · NIGMS · MICHIGAN STATE UNIVERSITY · PI LAST, ROBERT LOUIS · 2014 to 2023
$2.2M
NIGMS NIH HHS T32 GM110523
6 · The paper itself

Abstract

Plant specialized metabolites mediate interactions between plants and the environment and have significant agronomical/pharmaceutical value. Most genes involved in specialized metabolism (SM) are unknown because of the large number of metabolites and the challenge in differentiating SM genes from general metabolism (GM) genes. Plant models like

Indexed as

Cross-species gene predictionspecialized metabolismtransfer learning

Identifiers

PMID33344884
PMCPMC7731531

What OpenQuestion holds

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Registered trials

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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.