Genomics refined: AI-powered perspectives on structural analysis.

Journal: Trends in plant science
Published Date: Oct 10, 2023

Abstract

Understanding protein function by deciphering 3D structure has distinct limitations. A recent study by Huang et al. used AlphaFold2, an artificial intelligence (AI) protein-folding prediction model, to predict and classify deaminase proteins based on structural similarities, highlighting the untapped potential of AI in functional genomics and protein engineering.

Authors

  • Yi Lou
    Key Laboratory of Biopesticide and Chemical Biology of Ministry of Education, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Zixin Deng
    State Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200030, China.
  • Jiangtao Gao
    Key Laboratory of Biopesticide and Chemical Biology of Ministry of Education, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China. Electronic address: jgaotao@gmail.com.

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