{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T19:51:50Z","timestamp":1767383510947},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Availability: LS-SNP\/PDB is available at http:\/\/ls-snp.icm.jhu.edu\/ls-snp-pdb and via links from protein data bank (PDB) biology and chemistry tabs, UCSC Genome Browser Gene Details and SNP Details pages and PharmGKB Gene Variants Downloads\/Cross-References pages.<\/jats:p>\n               <jats:p>Contact: \u00a0karchin@jhu.edu<\/jats:p>\n               <jats:p>Supplementary Information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp242","type":"journal-article","created":{"date-parts":[[2009,4,16]],"date-time":"2009-04-16T01:28:58Z","timestamp":1239845338000},"page":"1431-1432","source":"Crossref","is-referenced-by-count":63,"title":["LS-SNP\/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures"],"prefix":"10.1093","volume":"25","author":[{"given":"Michael","family":"Ryan","sequence":"first","affiliation":[{"name":"1 Department of Bioinformatics, George Mason University, Fairfax, VA, 2Department of Biomolecular Engineering, University of California, Santa Cruz, CA and 3Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA"}]},{"given":"Mark","family":"Diekhans","sequence":"additional","affiliation":[{"name":"1 Department of Bioinformatics, George Mason University, Fairfax, VA, 2Department of Biomolecular Engineering, University of California, Santa Cruz, CA and 3Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA"}]},{"given":"Stephanie","family":"Lien","sequence":"additional","affiliation":[{"name":"1 Department of Bioinformatics, George Mason University, Fairfax, VA, 2Department of Biomolecular Engineering, University of California, Santa Cruz, CA and 3Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA"}]},{"given":"Yun","family":"Liu","sequence":"additional","affiliation":[{"name":"1 Department of Bioinformatics, George Mason University, Fairfax, VA, 2Department of Biomolecular Engineering, University of California, Santa Cruz, CA and 3Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA"}]},{"given":"Rachel","family":"Karchin","sequence":"additional","affiliation":[{"name":"1 Department of Bioinformatics, George Mason University, Fairfax, VA, 2Department of Biomolecular Engineering, University of California, Santa Cruz, CA and 3Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, 3400 N. 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