Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PTM-SNP

General information

URL: http://gcode.kaist.ac.kr/ptmsnp
Full name: Database of disease-associated Single Nucleotide Polymorphism influencing Post-Translational Modification
Description: A new database called PTM-SNP was developed which contains a comprehensive collection of human nsSNPs that affect PTM sites, together with disease information. PTM-SNP can provide an insight about discovering important PTMs involved in the diseases easily through the web site.
Year founded: 2015
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: Korea, Republic of

Contact information

University/Institution: Korea Advanced Institute of Science and Technology
Address: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology(KAIST), Daejeon, South Korea
City: Daejeon
Province/State:
Country/Region: Korea, Republic of
Contact name (PI/Team): Gwan-Su Yi
Contact email (PI/Helpdesk): jollyky@kaist.ac.kr

Publications

26043787
Detection and analysis of disease-associated single nucleotide polymorphism influencing post-translational modification. [PMID: 26043787]
Kim Y, Kang C, Min B, Yi GS.

Post-translational modification (PTM) plays a crucial role in biological functions and corresponding disease developments. Discovering disease-associated non-synonymous SNPs (nsSNPs) altering PTM sites can help to estimate the various PTM candidates involved in diseases, therefore, an integrated analysis between SNPs, PTMs and diseases is necessary. However, only a few types of PTMs affected by nsSNPs have been studied without considering disease-association until now. In this study, we developed a new database called PTM-SNP which contains a comprehensive collection of human nsSNPs that affect PTM sites, together with disease information. Total 179,325 PTM-SNPs were collected by aligning missense SNPs and stop-gain SNPs on PTM sites (position 0) or their flanking region (position -7 to 7). Disease-associated SNPs from GWAS catalogs were also matched with detected PTM-SNP to find disease associated PTM-SNPs. Our result shows PTM-SNPs are highly associated with diseases, compared with other nsSNP sites and functional classes including near gene, intron and so on. PTM-SNP can provide an insight about discovering important PTMs involved in the diseases easily through the web site. PTM-SNP is freely available at http://gcode.kaist.ac.kr/ptmsnp.

BMC Med Genomics. 2015:8 Suppl 2() | 24 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
3815/6895 (44.685%)
Genotype phenotype and variation:
551/1005 (45.274%)
Modification:
236/337 (30.267%)
Interaction:
711/1194 (40.536%)
Pathway:
238/451 (47.45%)
Health and medicine:
957/1738 (44.994%)
Metadata:
385/719 (46.592%)
3815
Total Rank
23
Citations
2.3
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Sidra Younas [2018-04-13]