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A Protocol for Computer-Based Protein Structure and Function Prediction
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[Advances in bioinformatics-based protein function prediction].

Xinyuan He1, Yang Liu1, Xianghe Zeng2

  • 1School of Information Science and Engineering, University of Jinan, Jinan 250022, Shandong, China.

Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology
|July 24, 2024
PubMed
Summary
This summary is machine-generated.

Bioinformatics tools are essential for predicting protein function, aiding biomedical research and drug discovery. This paper categorizes and reviews the latest advancements in sequence, structure, and network-based prediction methods.

Keywords:
bioinformaticsdeep learninggene ontologymachine learningprotein function prediction

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • The increasing volume of biological data and computational power necessitates advanced bioinformatics tools.
  • Accurate protein function identification is critical for biomedical research and drug discovery.
  • Protein function prediction remains a significant challenge and a dynamic research area.

Purpose of the Study:

  • To categorize existing bioinformatics-based protein function prediction methods.
  • To analyze specific algorithms within each category.
  • To highlight recent research advancements and provide references for future applications.

Main Methods:

  • Categorization of methods into sequence-based, structure-based, and protein interaction network-based approaches.
  • Analysis of algorithms within each category.
  • Review of the latest research advancements in protein function prediction.

Main Results:

  • Established a clear categorization of protein function prediction methods.
  • Detailed analysis of various algorithms, including their strengths and limitations.
  • Identified key trends and recent breakthroughs in the field.

Conclusions:

  • Bioinformatics tools are indispensable for modern biological problem-solving.
  • The reviewed methods offer valuable insights for researchers in biomedical fields and drug discovery.
  • Continued advancements in bioinformatics are crucial for accelerating biological research and therapeutic development.