Paper Info
Title
ELASPIC web-server: proteome-wide structure based prediction of mutation effects on protein stability and binding affinity.
Abstract
A Summary: ELASPIC is a novel ensemble machine-learning approach that predicts the effects of mutations on protein folding and protein-protein interactions. Here, we present the ELASPIC web-server, which makes the ELASPIC pipeline available through a fast and intuitive interface. The web-server can be used to evaluate the effect of mutations on any protein in the Uniprot database, and allows all predicted results, including modeled wild-type and mutated structures, to be managed and viewed online and downloaded if needed. It is backed by a database which contains improved structural domain definitions, and a list of curated domain-domain interactions for all known proteins, as well as homology models of domains and domain-domain interactions for the human proteome. Homology models for proteins of other organisms are calculated on the fly, and mutations are evaluated within minutes once the homology model is available.
Year
DOI
Venue
2016
10.1093/bioinformatics/btw031
BIOINFORMATICS
Field
DocType
Volume
Human proteome project,Data mining,Protein folding,UniProt,Computer science,Proteome,Homology (biology),Bioinformatics,Homology modeling,Web server,Mutation
Journal
32
Issue
ISSN
Citations 
10
1367-4803
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Daniel K Witvliet100.34
Alexey Strokach200.34
Andrés Felipe Giraldo-Forero382.16
Joan Teyra400.34
Recep Colak500.34
Philip M Kim600.34