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GPro: generative AI-empowered toolkit for promoter design. | LitMetric

GPro: generative AI-empowered toolkit for promoter design.

Bioinformatics

Ministry of Education Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.

Published: March 2024

AI Article Synopsis

  • Promoters are essential in biotech, and Generative AI (GenAI) has shown promise in creating improved synthetic promoters, but its current methods have limitations related to programming and specific applications.* -
  • GPro is a new, user-friendly toolkit that combines various GenAI methods for promoter design, providing a standardized process for training, optimization, and evaluation, along with demos to help users implement these techniques.* -
  • Available as open-source software under the MIT license, GPro's source code can be accessed on GitHub and Zenodo, making it accessible for users across different operating systems.*

Article Abstract

Motivation: Promoters with desirable properties are crucial in biotechnological applications. Generative AI (GenAI) has demonstrated potential in creating novel synthetic promoters with significantly enhanced functionality. However, these methods' reliance on various programming frameworks and specific task-oriented contexts limits their flexibilities. Overcoming these limitations is essential for researchers to fully leverage the power of GenAI to design promoters for their tasks.

Results: Here, we introduce GPro (Generative AI-empowered toolkit for promoter design), a user-friendly toolkit that integrates a collection of cutting-edge GenAI-empowered approaches for promoter design. This toolkit provides a standardized pipeline covering essential promoter design processes, including training, optimization, and evaluation. Several detailed demos are provided to reproduce state-of-the-art promoter design pipelines. GPro's user-friendly interface makes it accessible to a wide range of users including non-AI experts. It also offers a variety of optional algorithms for each design process, and gives users the flexibility to compare methods and create customized pipelines.

Availability And Implementation: GPro is released as an open-source software under the MIT license. The source code for GPro is available on GitHub for Linux, macOS, and Windows: https://github.com/WangLabTHU/GPro, and is available for download via Zenodo repository at https://zenodo.org/doi/10.5281/zenodo.10681733.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937896PMC
http://dx.doi.org/10.1093/bioinformatics/btae123DOI Listing

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