Minimotif Miner 4: A Million Peptide Minimotifs And Counting
Document Type
Article
Publication Date
1-1-2018
Publication Title
Nucleic Acids Research
Publisher
Oxford University Press
Volume
46
Issue
D1
First page number:
D465
Last page number:
D470
Abstract
Minimotif Miner (MnM) is a database and web system for analyzing short functional peptide motifs, termed minimotifs. We present an update to MnM growing the database from 1/4300 000 to >1 000 000 minimotif consensus sequences and instances. This growth comes largely from updating data from existing databases and annotation of articles with high-throughput approaches analyzing different types of post-translational modifications. Another update is mapping human proteins and their minimotifs to know human variants from the dbSNP, build 150. Now MnM 4 can be used to generate mechanistic hypotheses about how human genetic variation affect minimotifs and outcomes. One example of the utility of the combined minimotif/SNP tool identifies a loss of function missense SNP in a ubiquitylation minimotif encoded in the excision repair cross-complementing 2 (ERCC2) nucleotide excision repair gene. This SNP reaches genome wide significance for many types of cancer and the variant identified with MnM 4 reveals a more detailed mechanistic hypothesis concerning the role of ERCC2 in cancer. Other updates to the web system include a new architecture with migration of the web system and database to Docker containers for better performance and management. Weblinks:minimotifminer.org and mnm.engr.uconn.edu © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
Language
English
Repository Citation
Lyon, K. F.,
Cai, X.,
Young, R. J.,
Mamun, A. A.,
Rajasekaran, S.,
Schiller, M. R.
(2018).
Minimotif Miner 4: A Million Peptide Minimotifs And Counting.
Nucleic Acids Research, 46(D1),
D465-D470.
Oxford University Press.
http://dx.doi.org/10.1093/nar/gkx1085
