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[Protein modeling and design based on deep learning].

Binbin Xia1,2, Jun Wang1

  • 1CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.

Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology
|November 29, 2021
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Summary

Deep learning models protein data for novel protein design, accelerating drug discovery and material science. This review covers deep learning strategies for protein sequence and structure data analysis.

Keywords:
deep learningprotein data modelingprotein designstructural bioinformaticsstructure prediction

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Artificial Intelligence

Background:

  • Growing protein sequence and structure data necessitates efficient information extraction.
  • Protein design is crucial for drug target prediction, drug discovery, and material design.
  • Deep learning offers powerful tools for modeling biological data.

Purpose of the Study:

  • To review deep learning-based methods for protein sequence and structure data modeling and design.
  • To highlight strategies, principles, applications, and case studies in deep learning for protein design.
  • To provide a reference for researchers in the field of protein design.

Main Methods:

  • Review of literature on deep learning applications in protein sequence and structure analysis.
  • Summarization of deep learning strategies for feature extraction and a priori information integration.
  • Analysis of scope of application and case studies in deep learning-driven protein design.

Main Results:

  • Deep learning effectively models protein sequence and structure data.
  • Integration of a priori information via deep learning enables novel protein design.
  • Various deep learning strategies show promise in protein design applications.

Conclusions:

  • Deep learning-based protein design is a significant and promising approach.
  • This review provides a valuable reference for researchers utilizing deep learning in protein design.
  • Further research is needed to address challenges in deep learning-based protein design.