Related Experiment Video
Updated: May 9, 2025
09:51
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
15.3K
StructMAn 2.0 Web: a web server for structural annotation of protein sequences and mutations
Alper Yurtseven1,2, Sebastian Keller1, Pascal Hirsch3
1Research Group Drug Bioinformatics, Department Drug Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Campus E8.1, 66123 Saarbrücken, Saarland, Germany.
Nucleic Acids Research
|May 6, 2025
Summary
StructMAn provides detailed protein structural annotation by analyzing 3D structures and mutations. The StructMAn 2.0 Web server offers a user-friendly interface for accessing these insights, aiding in protein analysis and machine learning applications.
Area of Science:
- Structural biology
- Bioinformatics
- Computational biology
Background:
- Protein structure and function are intrinsically linked.
- Understanding the impact of mutations on protein structure is crucial for disease research.
- Computational tools are needed to analyze large-scale structural data.
Purpose of the Study:
- To introduce StructMAn, a method for comprehensive protein structural annotation.
- To provide a user-friendly web server (StructMAn 2.0 Web) for accessing StructMAn functionalities.
- To enable the generation of position-specific structural features for machine learning.
Main Methods:
- StructMAn maps, aligns, and aggregates data from experimental and predicted protein structures.
- It analyzes protein sequences and specific mutations.
- Data from homologous proteins are integrated for enhanced annotation.
Main Results:
- StructMAn provides structural annotation for every amino acid position.
- Detailed structural analysis of proteins and their variants is enabled.
- High-quality, position-specific structural features are generated.
Conclusions:
- StructMAn offers a powerful approach for protein structural annotation and analysis.
- The StructMAn 2.0 Web server democratizes access to these advanced computational tools.
- The generated features can significantly benefit machine learning applications in structural biology.
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