Evidence map›Paper›PMID 33290720›Full record

ArticleCell host & microbe2021

Automated Prediction and Annotation of Small Open Reading Frames in Microbial Genomes.

Matthew G Durrant, Ami S Bhatt

Open access · bronzeAbstract read
In one paragraph

Article in Cell host & microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

37 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  11. A deep reinforcement learning platform for antibiotic discovery.bioRxiv : the preprint server for biology · 2025
    Article
  12. Review
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  14. Eukaryotic Microproteins.Annual review of biochemistry · 2025
    Review
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  20. Origins of Life: The Protein Folding Problem all over again?Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

2 authors at 1 institution in 1 country.

Matthew G DurrantDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA 94305, USA. Electronic address: asbhatt@stanford.edu.
Stanford University · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
NCI NIH HHS P30 CA124435NIAID NIH HHS R01 AI143757NIAID NIH HHS R01 AI148623
6 · The paper itself

Abstract

Small open reading frames (smORFs) and their encoded microproteins play central roles in microbes. However, there is a vast unexplored space of smORFs within human-associated microbes. A recent bioinformatic analysis used evolutionary conservation signals to enhance prediction of small protein families. To facilitate the annotation of specific smORFs, we introduce SmORFinder. This tool combines profile hidden Markov models of each smORF family and deep learning models that better generalize to smORF families not seen in the training set, resulting in predictions enriched for Ribo-seq translation signals. Feature importance analysis reveals that the deep learning models learn to identify Shine-Dalgarno sequences, deprioritize the wobble position in each codon, and group codon synonyms found in the codon table. A core-genome analysis of 26 bacterial species identifies several core smORFs of unknown function. We pre-compute smORF annotations for thousands of RefSeq isolate genomes and Human Microbiome Project metagenomes and provide these data through a public web portal.

Indexed as

Genome, BacterialMolecular Sequence AnnotationOpen Reading FramesBacteriaBacterial ProteinsComputational BiologyDeep LearningHumansMarkov ChainsMicrobiotaModels, TheoreticalBacterial Proteinsdeep learninggenome annotationmachine learningmicrobiomemicroproteinssmall open reading frames

Identifiers

PMID33290720
PMCPMC7856248
OpenAlexW3111455950

What OpenQuestion holds

Textmetadata
LicenceTDM
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.