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An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Structure SNP (StSNP): a web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic
Alper Uzun1, Chesley M Leslin, Alexej Abyzov
1Department of Biology, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA.
Nucleic Acids Research
|June 1, 2007
Summary
Nonsynonymous SNPs (nsSNPs) alter protein sequences, potentially affecting metabolic pathways and disease. The StSNP web server integrates diverse data to analyze nsSNP functional consequences and their links to disease.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Nonsynonymous single nucleotide polymorphisms (nsSNPs) can alter protein function and metabolic pathways.
- Understanding nsSNP effects requires integrating sequence, structure, and pathway data.
Purpose of the Study:
- To develop a web server (StSNP) for integrated analysis of nsSNPs.
- To link nsSNP functional consequences to disease through metabolic pathways.
Main Methods:
- Cross-referencing data from dbSNP, Entrez, PDB, and KEGG.
- Implementing 'on the fly' comparative modeling of nsSNPs.
- Integrating real-time visual analysis using Friend software.
Main Results:
- StSNP provides integrated reports on nsSNPs.
- The server links nsSNPs to metabolic pathways and disease-related information.
- Comparative modeling and visual analysis of nsSNP structures are available.
Conclusions:
- StSNP facilitates the examination of disease-related pathways associated with nsSNPs.
- The server aids in connecting nsSNP data with molecular structure and disease information.
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