创新链/学科链/研发链/产业链

新药研发前沿动态 / 医药领域趋势进展

LI Jinjia, CHEN Duxin, CHAI Renjie, YU Wenwu. Potential and Application of Artificial Intelligence-Based Protein Attribute Prediction[J]. Progress in Pharmaceutical Sciences, 2023, 47(10): 733-740. DOI: 10.20053/j.issn1001-5094.2023.10.003
Citation: LI Jinjia, CHEN Duxin, CHAI Renjie, YU Wenwu. Potential and Application of Artificial Intelligence-Based Protein Attribute Prediction[J]. Progress in Pharmaceutical Sciences, 2023, 47(10): 733-740. DOI: 10.20053/j.issn1001-5094.2023.10.003

Potential and Application of Artificial Intelligence-Based Protein Attribute Prediction

  • Proteins are the core building blocks of living systems, and a precise understanding of their structure and function is essential for revealing biological processes and drug development.With the rapid development of artificial intelligence technology, its application in the field of protein engineering, especially in the prediction of protein attribute, has become a hot research topic.This article reviews the latest developments in the field of biomedical engineering, with focus on the important role of artificial intelligence technology in protein engineering, and highlights the innovative achievements of artificial intelligence algorithms in predicting protein attribute, with deep discussion on its potential application and challenges in the field.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return