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PCR01:32

PCR

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Related Experiment Video

Updated: Jun 27, 2025

A Universal Protocol for Large-scale gRNA Library Production from any DNA Source
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ProtoCode: Leveraging large language models (LLMs) for automated generation of machine-readable PCR protocols from

Shuo Jiang1, Daniel Evans-Yamamoto2, Dennis Bersenev1

  • 1SBX BioSciences, Inc. 1600 - 925 West Georgia Street, Vancouver, BC, V6C 3L2, Canada.

SLAS Technology
|April 26, 2024
PubMed
Summary

ProtoCode, a tool using advanced AI, automates the curation of scientific protocols. This enhances research reproducibility by standardizing experimental procedures like polymerase chain reaction (PCR).

Keywords:
Lab automationLarge language modelProtocol standardizationText mining

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Scientific Reproducibility

Background:

  • Standardizing and sharing protocols is vital for life science reproducibility.
  • Current methods for protocol description and curation are inconsistent and labor-intensive.
  • Large Language Models (LLMs) show potential for extracting knowledge from scientific texts.

Purpose of the Study:

  • To develop an automated tool, ProtoCode, for curating scientific protocols.
  • To leverage fine-tuned LLMs for converting protocols into machine-interpretable formats.
  • To improve the standardization and sharing of life science protocols.

Main Methods:

  • Developed ProtoCode, a tool utilizing fine-tuned LLMs.
  • Focused on curating polymerase chain reaction (PCR) protocols as a proof-of-concept.
  • Evaluated information retrieval accuracy and conversion to operational files for thermal cyclers.

Main Results:

  • ProtoCode achieved 69-100% accuracy in retrieving information from PCR protocols.
  • Successfully converted literature-based protocols into operational files for multiple thermal cycler systems.
  • Demonstrated the tool's capability to process and standardize protocols automatically.

Conclusions:

  • ProtoCode offers a reliable, automated solution for protocol curation and standardization.
  • The tool can significantly alleviate the manual effort required for protocol curation.
  • Enhances research reproducibility by providing accessible, standardized protocols.