Evidence map›Paper›PMID 40400348›Full record

ArticleProtein science : a publication of the Protein Society2025

AcrDB update: Predicted 3D structures of anti-CRISPRs in human gut viromes.

Minal Khatri, N R Siva Shanmugam, Xinpeng Zhang, Revanth Sai Kumar Reddy Patel, Yanbin Yin

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. AcrDB update: Predicted 3D structures of anti-CRISPRs in human gut viromes.Protein science : a publication of the Protein Society · 2025
    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

5 authors.

Minal KhatriNebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
N R Siva ShanmugamNebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Xinpeng ZhangNebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Revanth Sai Kumar Reddy PatelNebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Yanbin YinNebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID 0000-0001-7667-881X

Funding

Exploration of cloud computing for CAZyme researchR01GM140370 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI YIN, YANBIN · 2021 to 2024
$1.5M
Bioinformatics Discovery of Anti-CRISPR Operons in Human Gut MicrobiomeR21AI171952 · NIAID · UNIVERSITY OF NEBRASKA LINCOLN · PI YIN, YANBIN · 2022 to 2023
$401k
Glycan Utilization Profiling in Human Gut Microbiomes of Common Funds DataR03OD039979 · OD · UNIVERSITY OF NEBRASKA LINCOLN · PI YIN, YANBIN · 2025 to 2025
$294k
NIAID NIH HHS R21 AI171952NIGMS NIH HHS R01 GM140370NIH HHS R01GM140370NIH HHS R03 OD039979NIH HHS R21AI171952U.S. Department of Agriculture (USDA) 58-8042-9-089
6 · The paper itself

Abstract

Anti-CRISPR (Acr) proteins play a key role in phage-host interactions and hold great promise for advancing genome-editing technologies. However, finding new Acrs has been challenging due to their low sequence similarity. Recent advances in protein structure prediction have opened new pathways for Acr discovery by using 3D structure similarity. This study presents an updated AcrDB, with the following new features not available in other databases: (1) predicted Acrs from human gut virome databases, (2) Acr structures predicted by AlphaFold2, (3) a structural similarity search function to allow users to submit new sequences and structures to search against 3D structures of experimentally known Acrs. The updated AcrDB contains predicted 3D structures of 795 candidate Acrs with structural similarity (TM-score ≥0.7) to known Acrs supported by at least two of the three non-sequence similarity-based tools (TM-Vec, Foldseek, AcrPred). Among these candidate Acrs, 121 are supported by all three tools. AcrDB also includes 3D structures of 122 experimentally characterized Acr proteins. The 121 most confident candidate Acrs were combined with the 122 known Acrs and clustered into 163 sequence similarity-based Acr families. The 163 families were further subject to a structure similarity-based hierarchical clustering, revealing structural similarity between 44 candidate Acr (cAcr) families and 119 known Acr families. The bacterial hosts of these 163 Acr families are mainly from Bacillota, Pseudomonadota, and Bacteroidota, which are all dominant gut bacterial phyla. Many of these 163 Acr families are also co-localized in Acr operons. All the data and visualization are provided on our website: https://pro.unl.edu/AcrDB.

Indexed as

BacteriophagesClustered Regularly Interspaced Short Palindromic RepeatsGastrointestinal MicrobiomeViral ProteinsDatabases, ProteinHumansModels, MolecularProtein ConformationViral Proteinsanti‐CRISPRanti‐defense genesbacterial immunityCRISPR‐Casstructure similarityvirome

Identifiers

PMID40400348
PMCPMC12095918

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LicenceCC BY-NC
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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.