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Updated: May 30, 2025
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
68.5K
An easy-to-use three-dimensional protein-structure-prediction online platform "DPL3D" based on deep learning
Yunlong Gao1, He Wang1, Jiapeng Zhou2
1NewInsyght Biotech (Guangdong) Co., Ltd. DongGuan 523000, China.
Current Research in Structural Biology
|January 27, 2025
Summary
Predicting mutant protein structures is crucial for understanding diseases. DPL3D is a new platform that visualizes these 3D protein structures, aiding biological discovery and clinical applications.
Area of Science:
- Structural Biology
- Computational Biology
- Genomics
Background:
- Protein structure changes, often due to missense mutations, can cause diseases.
- Accurate prediction of mutant protein structures is limited by data availability.
- Existing methods for assessing mutation impact rely heavily on evolutionary conservation.
Purpose of the Study:
- To develop a user-friendly platform for predicting and visualizing mutant protein 3D structures.
- To integrate advanced computational protein structure prediction tools.
- To provide clinicians and researchers with accessible structural biology information.
Main Methods:
- Utilized AlphaFold 2, RoseTTAFold, RoseTTAFold All-Atom, and trRosettaX-Single for structure prediction.
- Compiled a database of 210,180 molecular structures, including 52,248 human proteins.
- Implemented interactive 2D and 3D structure visualization using LiteMol.
Main Results:
- Developed the DPL3D platform (http://nsbio.tech:3000) for mutant protein structure prediction and visualization.
- Enabled automated and manual interactive visualization of protein structures.
- Provided access to a large-scale database of protein structural information.
Conclusions:
- DPL3D facilitates the utilization of structural biology information by clinicians and researchers.
- The platform enhances the ability to study the impact of mutations on protein structure and function.
- Accelerates biological discovery through easy retrieval of large-scale protein structural data.
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