VnD: A structure-centric database of disease-related SNPs and drugs

Jin Ok Yang, Sangho Oh, Gunhwan Ko, Seong Jin Park, Woo Yeon Kim, Byungwook Lee, Sanghyuk Lee

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Numerous genetic variations have been found to be related to human diseases. Significant portion of those affect the drug response as well by changing the protein structure and function. Therefore, it is crucial to understand the trilateral relationship among genomic variations, diseases and drugs. We present the variations and drugs (VnD), a consolidated database containing information on diseases, related genes and genetic variations, protein structures and drug information. VnD was built in three steps. First, we integrated various resources systematically to deduce catalogs of disease-related genes, single nucleotide polymorphisms (SNPs), protein mutations and relevant drugs. VnD contains 137 195 diseaserelated gene records (13 940 distinct genes) and 16 586 genetic variation records (1790 distinct variations). Next, we carried out structure modeling and docking simulation for wild-type and mutant proteins to examine the structural and functional consequences of non-synonymous SNPs in the drug-related genes. Conformational changes in 590 wild-type and 4437 mutant proteins from drugrelated genes were included in our database. Finally, we investigated the structural and biochemical properties relevant to drug binding such as the distribution of SNPs in proximal protein pockets, thermo-chemical stability, interactions with drugs and physico-chemical properties. The VnD database, available at http://vnd.kobic.re. kr:8080/VnD/ or vandd.org, would be a useful platform for researchers studying the underlying mechanism for association among genetic variations, diseases and drugs.

Original languageEnglish
Pages (from-to)D939-D944
JournalNucleic Acids Research
Volume39
Issue numberSUPPL. 1
DOIs
StatePublished - Jan 2011

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