GPro

GPro generates synthetic promoter sequences using Generative Artificial Intelligence (GenAI) methods to design promoters with defined regulatory properties for applications in synthetic biology and genetic engineering.


Key Features:

  • Integration of GenAI methodologies: Integrates state-of-the-art Generative Artificial Intelligence (GenAI) methodologies tailored for promoter design.
  • Standardized pipeline: Provides a standardized pipeline encompassing the training, optimization, and evaluation stages of promoter-design models.
  • Customizable algorithms: Includes interchangeable algorithmic options for each pipeline stage to enable method comparison and tailoring to experimental needs.

Scientific Applications:

  • Synthetic biology: Design and generation of novel synthetic promoters to control gene expression in engineered biological systems.
  • Genetic engineering: Design promoters for precise transcriptional control in genetic constructs.
  • Gene expression studies: Produce promoter variants to probe promoter function and regulatory element effects in gene expression assays.
  • Metabolic engineering: Tune promoter strength and regulation to optimize pathway expression in metabolic engineering projects.

Methodology:

Computational pipeline performs training, optimization, and evaluation of GenAI models for promoter design.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Mac, Windows
Programming Languages:
Python
Added:
6/18/2024
Last Updated:
6/18/2024

Operations

Publications

Wang H, Du Q, Wang Y, Xu H, Wei Z, Wang X. GPro: generative AI-empowered toolkit for promoter design. Bioinformatics. 2024;40(3). doi:10.1093/bioinformatics/btae123. PMID:38429953. PMCID:PMC10937896.

PMID: 38429953
Funding: - National Natural Science Foundation of China: 62225307, 62250007 - Beijing Municipal Natural Science Foundation: Z230015

Documentation

Links