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PMID: 15827081 Published · ppublish English Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

LS-SNP: large-scale annotation of coding non-synonymous SNPs based on multiple information sources.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 12 ·2005-06-15 ·Pages 2814-20

Karchin R, Diekhans M, Kelly L, Thomas DJ, Pieper U, Eswar N, Haussler D, Sali A

Abstract

The NCBI dbSNP database lists over 9 million single nucleotide polymorphisms (SNPs) in the human genome, but currently contains limited annotation information. SNPs that result in amino acid residue changes (nsSNPs) are of critical importance in variation between individuals, including disease and drug sensitivity. We have developed LS-SNP, a genomic scale software pipeline to annotate nsSNPs. LS-SNP comprehensively maps nsSNPs onto protein sequences, functional pathways and comparative protein structure models, and predicts positions where nsSNPs destabilize proteins, interfere with the formation of domain-domain interfaces, have an effect on protein-ligand binding or severely impact human health. It currently annotates 28,043 validated SNPs that produce amino acid residue substitutions in human proteins from the SwissProt/TrEMBL database. Annotations can be viewed via a web interface either in the context of a genomic region or by selecting sets of SNPs, genes, proteins or pathways. These results are useful for identifying candidate functional SNPs within a gene, haplotype or pathway and in probing molecular mechanisms responsible for functional impacts of nsSNPs. http://www.salilab.org/LS-SNP CONTACT: rachelk@salilab.org http://salilab.org/LS-SNP/supp-info.pdf.

MeSH Terms
Algorithms Chromosome Mapping/methods Database Management Systems Databases, Genetic Information Storage and Retrieval/methods Open Reading Frames/genetics Polymorphism, Single Nucleotide/genetics Proteins/analysis,chemistry,genetics Sequence Alignment/methods Sequence Analysis, DNA/methods Sequence Analysis, Protein/methods Software Systems Integration
Chemicals
Proteins
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Karchin Rachel
Department of Biopharmaceutical Sciences, University of California at San Francisco, San Francisco, CA 94143, USA. rachelk@salilab.org
Diekhans Mark
Kelly Libusha
Thomas Daryl J
Pieper Ursula
Eswar Narayanan
Haussler David
Sali Andrej
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-06-15
Epub
2005-00-12
Pages
2814-20
Language
English
Region
England
NLM ID
9808944
Subset
IM
Grants
NCPDCID CDC HHS · NCI 22XS013A · United States
NIGMS NIH HHS · NIH F32 GM-072403-01 · United States
NIGMS NIH HHS · NIH U01 GM-61390-04 · United States
NHGRI NIH HHS · P41 HG02371 · United States
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