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STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning.

Likun YangXiaoli LiangNa ZhangLu Lu
Published in: ACS omega (2023)
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/.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • protein protein
  • amino acid
  • binding protein
  • small molecule