Vol. 4 No. 1 (2024): Issue 4
Articles

Plasmid Copy Number Control with Gradient Boosting

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  • Marcus Fitzgerald
Marcus Fitzgerald
Biotechnological Research Institute, University of Northern British Columbia
Bio
DOI: https://doi.org/10.71070/jcbm.v4i1.100

Published 2024-09-17

Keywords

  • Plasmid Copy Number,
  • Recombinant Protein Expression,
  • Gradient Boosting,
  • Predictive Modeling,
  • Data-Driven Strategies

How to Cite

Fitzgerald, M. (2024). Plasmid Copy Number Control with Gradient Boosting. Journal of Computational Biology and Medicine, 4(1). https://doi.org/10.71070/jcbm.v4i1.100

Abstract

Plasmid copy number control is crucial for the successful expression of recombinant proteins in various biotechnological applications. However, the existing strategies for controlling plasmid copy number often face challenges related to stability and consistency. This paper addresses the current limitations by proposing a novel approach utilizing Gradient Boosting, a machine learning technique, to predict and regulate plasmid copy numbers effectively. By integrating experimental data with predictive modeling, our innovative method offers a more precise and adaptive control mechanism. The study emphasizes the importance of data-driven strategies in optimizing plasmid copy number control for enhanced protein production efficiency, fostering advancements in biotechnological research and applications.

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