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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
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A3D database: structure-based predictions of protein aggregation for the human proteome
Aleksandra E Badaczewska-Dawid1, Javier Garcia-Pardo2, Aleksander Kuriata3
1Department of Chemistry, Iowa State University, Ames, 50011 IA, USA.
Bioinformatics (Oxford, England)
|April 21, 2022
Summary
This study introduces the Aggrescan3D (A3D) database, which analyzes human protein structures predicted by AlphaFold (AF) to understand protein aggregation. The database provides insights into protein solubility and stability, aiding in the design of therapeutic proteins.
Area of Science:
- Structural biology
- Computational biology
- Biochemistry
Background:
- Protein aggregation is linked to human diseases and therapeutic protein production challenges.
- AlphaFold (AF) has significantly advanced human protein structure prediction.
- Understanding protein aggregation is crucial for protein engineering and drug development.
Purpose of the Study:
- To create a comprehensive database of structure-based protein aggregation predictions for the human proteome.
- To analyze aggregation properties of human proteins using AlphaFold structures and the Aggrescan3D (A3D) tool.
- To provide a user-friendly platform for exploring protein aggregation, solubility, and stability.
Main Methods:
- Utilized the Aggrescan3D (A3D) tool to predict structure-based aggregation propensity for over 20,500 human proteins.
- Analyzed AlphaFold (AF)-predicted human protein structures.
- Developed the A3D database to store and visualize aggregation data.
Main Results:
- Generated a database of structure-based aggregation predictions for the human proteome.
- Each database entry includes detailed aggregation propensity analysis.
- The database allows visualization and analysis of protein structure datasets, including mutation effects.
Conclusions:
- The A3D database provides valuable insights into human protein aggregation properties.
- This resource aids in understanding protein aggregation in disease and designing more soluble therapeutic proteins.
- The integrated tools facilitate the study of protein solubility and stability.
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