Evidence map›Paper›PMID 37725369›Full record

ArticleBioinformatics (Oxford, England)2023

pLM-BLAST: distant homology detection based on direct comparison of sequence representations from protein language models.

Kamil Kaminski, Jan Ludwiczak, Kamil Pawlicki, Vikram Alva, Stanislaw Dunin-Horkawicz

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Conformational diversity in poly-HAMP arrays and its implications for signal transduction.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Review
  6. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
    Review
  7. Inferring Local Protein Structural Similarity from Sequence Alone.Journal of chemical information and modeling · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026
    Review
  14. Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026
    Review
  15. Article
  16. ADAPT: a programme for the advanced detection of AI-enabled pathogenic threats.Frontiers in bioengineering and biotechnology · 2026
    Article
  17. Protein embeddings and local alignments.Computational and structural biotechnology journal · 2026
    Article
  18. Article
  19. Article
  20. 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.

Kamil KaminskiInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw 02-089, Poland.
Jan LudwiczakInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw 02-089, Poland.ORCID 0000-0002-3487-5433
Kamil PawlickiInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw 02-089, Poland.
Vikram AlvaDepartment of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen 72076, Germany.ORCID 0000-0003-1188-473X
Stanislaw Dunin-HorkawiczInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw 02-089, Poland.ORCID 0000-0002-4581-1558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe detection of homology through sequence comparison is a typical first step in the study of protein function and evolution. In this work, we explore the applicability of protein language models to this task.

resultsWe introduce pLM-BLAST, a tool inspired by BLAST, that detects distant homology by comparing single-sequence representations (embeddings) derived from a protein language model, ProtT5. Our benchmarks reveal that pLM-BLAST maintains a level of accuracy on par with HHsearch for both highly similar sequences (with >50% identity) and markedly divergent sequences (with <30% identity), while being significantly faster. Additionally, pLM-BLAST stands out among other embedding-based tools due to its ability to compute local alignments. We show that these local alignments, produced by pLM-BLAST, often connect highly divergent proteins, thereby highlighting its potential to uncover previously undiscovered homologous relationships and improve protein annotation. AVAILABILITY AND IMPLEMENTATION: pLM-BLAST is accessible via the MPI Bioinformatics Toolkit as a web server for searching precomputed databases (https://toolkit.tuebingen.mpg.de/tools/plmblast). It is also available as a standalone tool for building custom databases and performing batch searches (https://github.com/labstructbioinf/pLM-BLAST).

Indexed as

ProteinsSoftwareAmino Acid SequenceMolecular Sequence AnnotationSequence AlignmentProteins

Identifiers

PMID37725369
PMCPMC10576641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.