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Can I read STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning on EtoBox?

STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning by Likun Yang; Xiaoli Liang; Na Zhang; Lu Lu is a Engineering article available to read on EtoBox.

What is STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning about?

Protein engineering has made significant contributions to industries such as agriculture, food, and pharmaceuticals. In recent years, directed evolution combined with artificial intelligence has emerged as a cutting-edge R&D approach. However, the application of machine learning techniques can be challenging for those without relevant experience and coding skills. To address this issue, we have developed a web-based protein sequence recommendation system: STAR (Sequence recommendaTion via ARtificial intelligence). Our system utilizes Bayesian optimization as its backbone and includes a filtering step using a regression model to enhance the success rate of recommended sequences. Additionally, we have incorporated an in silico-directed evolution approach to expand the exploration of the protein space. The Web site can be accessed at https://www.FindProteinStar.com/.

Who reads STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Likun Yang; Xiaoli Liang; Na Zhang; Lu Lu
Publisher
American Chemical Society (ACS)
Published
2023
Language
EN
Field
Engineering (Physical Sciences)

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