Evidence map›Paper›PMID 42222668›Full record

ArticleBioinformatics advances2026

InterProScan 6: a modern large-scale protein function annotation pipeline.

Matthias Blum, Emma Hobbs, Laise Florentino, Alex Bateman

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. 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. Novel Thermophilic Species ofLife (Basel, Switzerland) · 2026
    Article
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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

4 authors.

Matthias BlumEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, United Kingdom.ORCID https://orcid.org/0000-0001-5773-4724
Emma HobbsEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, United Kingdom.
Laise FlorentinoEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, United Kingdom.
Alex BatemanEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, United Kingdom.ORCID https://orcid.org/0000-0002-6982-4660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: InterProScan is a widely used software package for large-scale protein function classification and an essential component of UniProt, Ensembl and MGnify Genomes large-scale annotation pipelines. For the past 12 years, InterProScan 5 has provided robust analysis but faced challenges in scalability, installation, data management, and integration with modern workflow systems. We present InterProScan 6, a complete reimplementation as a Nextflow pipeline that enhances scalability, portability, and reproducibility across diverse computational environments, including local, HPC, and cloud platforms. Key improvements include decoupling of application code from signature data, native container support, on-demand data management, integration of modern deep-learning-based predictors, and a redesigned Matches API for retrieving pre-computed annotations in JSON format. Results: Across nine reference proteomes ranging from bacteria to complex eukaryotes, InterProScan 6 consistently reduced wall-clock runtime relative to InterProScan 5, with speedups of approximately two-fold on large eukaryotic proteomes. When pre-computed annotations were available via the Matches API, runtimes were reduced to minutes. Comparison of annotations generated from all Swiss-Prot sequences shows that InterProScan 6 reproduces InterProScan 5 results with near-identical precision and sensitivity across all InterPro member databases. InterProScan 6 therefore enables more efficient, flexible, and reproducible genome-scale protein function annotation. Availability and implementation: InterProScan 6 is distributed under the Apache 2.0 license. Its documentation is hosted on ReadTheDocs (https://interproscan6.readthedocs.io/) and its source code is available on GitHub (https://github.com/ebi-pf-team/interproscan6).

Identifiers

PMID42222668
PMCPMC13221978

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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.