LS-SNP/PDB: Annotated non-synonymous SNPs mapped to Protein Data Bank structures

Michael Ryan; Mark Diekhans; Stephanie Lien; Yun Liu; Rachel Karchin

doi:10.1093/bioinformatics/btp242

LS-SNP/PDB: Annotated non-synonymous SNPs mapped to Protein Data Bank structures

Michael Ryan, Mark Diekhans, Stephanie Lien, Yun Liu, Rachel Karchin

Whiting School of Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: LS-SNP/PDB is a new WWW resource for genome-wide annotation of human non-synonymous (amino acid changing) SNPs. It serves high-quality protein graphics rendered with UCSF Chimera molecular visualization software. The system is kept up-to-date by an automated, high-throughput build pipeline that systematically maps human nsSNPs onto Protein Data Bank structures and annotates several biologically relevant features.

Original language	English (US)
Pages (from-to)	1431-1432
Number of pages	2
Journal	Bioinformatics
Volume	25
Issue number	11
DOIs	https://doi.org/10.1093/bioinformatics/btp242
State	Published - Jun 2009

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btp242

Cite this

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abstract = "Summary: LS-SNP/PDB is a new WWW resource for genome-wide annotation of human non-synonymous (amino acid changing) SNPs. It serves high-quality protein graphics rendered with UCSF Chimera molecular visualization software. The system is kept up-to-date by an automated, high-throughput build pipeline that systematically maps human nsSNPs onto Protein Data Bank structures and annotates several biologically relevant features.",

author = "Michael Ryan and Mark Diekhans and Stephanie Lien and Yun Liu and Rachel Karchin",

year = "2009",

month = jun,

doi = "10.1093/bioinformatics/btp242",

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AU - Liu, Yun

AU - Karchin, Rachel

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LS-SNP/PDB: Annotated non-synonymous SNPs mapped to Protein Data Bank structures

Abstract

ASJC Scopus subject areas

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