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Updated: Jun 25, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
The SAAPdb web resource: a large-scale structural analysis of mutant proteins
Jacob M Hurst1, Lisa E M McMillan, Craig T Porter
1Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom.
The Single Amino Acid Polymorphism database (SAAPdb) analyzes mutations, mapping single nucleotide polymorphisms (SNPs) and pathogenic deviations (PDs) to protein structures. This resource helps explain deleterious phenotypes by identifying structural effects of mutations.
Area of Science:
- Biochemistry
- Structural Biology
- Bioinformatics
Background:
- Understanding the structural impact of genetic variations is crucial for disease research.
- Existing databases may not comprehensively link mutations to structural data for phenotype explanation.
Purpose of the Study:
- To introduce SAAPdb, a novel resource for analyzing and visualizing the structural effects of mutations.
- To investigate differences between SNPs and PDs using structural mapping.
Main Methods:
- Mapping single nucleotide polymorphisms (SNPs) and pathogenic deviations (PDs) to protein structural data from the Protein Data Bank.
- Analyzing sequence and structural characteristics of mapped mutations.
Main Results:
- SAAPdb successfully maps mutations onto protein structures to hypothesize local structural effects.
- Significant differences in sequence and structural characteristics were observed between SNPs and PDs.
- Pathogenic deviations (PDs) were more frequently explained by structural analysis.
Conclusions:
- SAAPdb provides a valuable resource for the mutation research community.
- Structural analysis of mutations aids in explaining deleterious phenotypes.
- The database is publicly accessible for broader scientific use.
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