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Updated: Jun 25, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
[Advances in the application of AlphaFold2: a protein structure prediction model]
Hong Zhang1, Huijie Wang1, Ruijie Lu1
1School of Laboratory Medicine and Bioengineering, Hangzhou Medical College, Hangzhou 310053, Zhejiang, China.
Abstract:
Protein structure prediction is an important research field in life sciences and medicine, and it is also a key application scenario of artificial intelligence in scientific research. AlphaFold2 is a protein structure prediction system developed by DeepMind based on deep learning, capable of efficiently generating the atomic-scale spatial structure of a protein from the amino acid sequence. It has demonstrated superior performance in the prediction of protein structures since its inception, thus attracting much attention and research. This paper introduces the model architecture, highlights, limitations, and application progress of AlphaFold2. Furthermore, it briefs the capabilities, highlights, and limitations of several other types of protein structure prediction models and prospects the future development direction in this field.
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