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

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....

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Autores principales: Yang, Jin Ok, Oh, Sangho, Ko, Gunhwan, Park, Seong-Jin, Kim, Woo-Yeon, Lee, Byungwook, Lee, Sanghyuk
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013797/
https://www.ncbi.nlm.nih.gov/pubmed/21051351
http://dx.doi.org/10.1093/nar/gkq957
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author Yang, Jin Ok
Oh, Sangho
Ko, Gunhwan
Park, Seong-Jin
Kim, Woo-Yeon
Lee, Byungwook
Lee, Sanghyuk
author_facet Yang, Jin Ok
Oh, Sangho
Ko, Gunhwan
Park, Seong-Jin
Kim, Woo-Yeon
Lee, Byungwook
Lee, Sanghyuk
author_sort Yang, Jin Ok
collection PubMed
description 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 disease-related 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 drug-related 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.
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spelling pubmed-30137972011-01-03 VnD: a structure-centric database of disease-related SNPs and drugs Yang, Jin Ok Oh, Sangho Ko, Gunhwan Park, Seong-Jin Kim, Woo-Yeon Lee, Byungwook Lee, Sanghyuk Nucleic Acids Res Articles 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 disease-related 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 drug-related 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. Oxford University Press 2011-01 2010-11-04 /pmc/articles/PMC3013797/ /pubmed/21051351 http://dx.doi.org/10.1093/nar/gkq957 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Yang, Jin Ok
Oh, Sangho
Ko, Gunhwan
Park, Seong-Jin
Kim, Woo-Yeon
Lee, Byungwook
Lee, Sanghyuk
VnD: a structure-centric database of disease-related SNPs and drugs
title VnD: a structure-centric database of disease-related SNPs and drugs
title_full VnD: a structure-centric database of disease-related SNPs and drugs
title_fullStr VnD: a structure-centric database of disease-related SNPs and drugs
title_full_unstemmed VnD: a structure-centric database of disease-related SNPs and drugs
title_short VnD: a structure-centric database of disease-related SNPs and drugs
title_sort vnd: a structure-centric database of disease-related snps and drugs
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013797/
https://www.ncbi.nlm.nih.gov/pubmed/21051351
http://dx.doi.org/10.1093/nar/gkq957
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