Evidence map›Paper›PMID 40713866›Full record

ArticleBioinformatics (Oxford, England)2025

ActSeek: fast and accurate search algorithm of active sites in alphafold database.

Sandra Castillo, Osmo Henri Samuli Ollila

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Sandra CastilloVTT Technical Research Centre of Finland Ltd, Espoo, Otaniemi, 02044 VTT, Finland.ORCID 0000-0003-1968-4820
Osmo Henri Samuli OllilaVTT Technical Research Centre of Finland Ltd, Espoo, Otaniemi, 02044 VTT, Finland.

Funding

Research Council of Finland for financial support 356568Research Council of Finland for financial support 358505
6 · The paper itself

Abstract

motivationFinding proteins with specific functions by mining modern databases can potentially lead to substantial advancements in wide range of fields, from medicine and biotechnology to material science. Currently available algorithms enable mining of proteins based on their sequence or structure. However, activities of many proteins, such as enzymes and drug targets, are dictated by active site residues and their surroundings rather than the overall structure or sequence of a protein.

resultsWe introduce ActSeek-a computer vision-inspired fast program-that searches structural databases for proteins with active sites similar to the seed protein. ActSeek is implemented to mine proteins with desired active site environments from the Alphafold database. The potential of ActSeek to find innovative solutions to the world's most pressing challenges is demonstrated by finding enzymes that may be used to produce biodegradable plastics or degrade plastics, as well as potential off-targets for common drug molecules. AVAILABILITY AND IMPLEMENTATION: ActSeek source code is available in https://github.com/vttresearch/ActSeek under Non-Commercial License Agreement.

Indexed as

AlgorithmsCatalytic DomainDatabases, ProteinProteinsSoftwareComputational BiologyData MiningProteins

Identifiers

PMID40713866
PMCPMC12343037

What Socratic 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 Socratic graph.