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  3. Biocentral: Embedding-based Protein Predictions.
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  3. Biocentral: Embedding-based Protein Predictions.

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Biocentral: Embedding-based Protein Predictions.

Sebastian Franz1, Tobias Olenyi2, Paula Schloetermann3

  • 1School of Computation, Information, and Technology (CIT), Department of Informatics, Bioinformatics & Computational Biology, TUM (Technical University of Munich), 85748 Garching/Munich, Germany.

Journal of Molecular Biology
|February 1, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Biocentral offers a free service for protein Language Models (pLMs) embeddings, simplifying protein prediction for researchers. This tool democratizes access to powerful protein representations, overcoming hardware and expertise barriers.

Keywords:
bacterial exotoxinsbioinformatics toolsprotein language model embeddingsprotein structure

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Structural Biology

Background:

  • Protein Language Models (pLMs) generate powerful protein embeddings.
  • Generating embeddings requires significant computational resources and expertise.
  • These limitations hinder accessibility for many researchers.

Purpose of the Study:

  • Introduce Biocentral, a free and open service for pLM embeddings.
  • Simplify the generation and utilization of protein embeddings.
  • Facilitate protein prediction and analysis for biologists.

Main Methods:

  • Developed a service with standardized access to multiple pLMs.
  • Integrated modules for embedding generation, prediction, and model training.
  • Provided a graphical user interface (GUI) and programmatic API.

Main Results:

  • Demonstrated Biocentral's utility in a large-scale BFVD virus database analysis.
  • Successfully reproduced an existing embedding-based prediction method using the training module.
  • Showcased the ease of generating embeddings and predictions.

Conclusions:

  • Biocentral lowers barriers to using pLM embeddings in biological research.
  • The service supports diverse applications, from prediction to model training.
  • Biocentral enhances accessibility and usability of advanced protein analysis tools.