MAESTRO specifications

Information


Unique identifier OMICS_10993
Name MAESTRO
Interface Web user interface
Restrictions to use Academic or non-commercial use
Programming languages C++, Javascript
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


Information


Unique identifier OMICS_10993
Name MAESTRO
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Stability Stable
Maintained Yes

Download


download.png

Versioning


No version available

Maintainer


Publications for MAESTRO

MAESTRO citations

 (2)
library_books

Vermont: a multi perspective visual interactive platform for mutational analysis

2017
BMC Bioinformatics
PMCID: 5606220
PMID: 28929973
DOI: 10.1186/s12859-017-1789-3

[…] tures where nodes represent amino acids and edges represent different types of physicochemical interactions.Laimer and others, in turn, proposed multi-agent stability prediction upon point mutations (MAESTRO) []. The method combines multiple linear regression, a neural network approach and support vector machine (SVM) with a multi-agent method to predict protein structure stability mainly based on […]

library_books

Influence of protein fold stability on immunogenicity and its implications for vaccine design

2017
PMCID: 5490637
PMID: 28290225
DOI: 10.1080/14760584.2017.1306441

[…] tter suited for the investigation of large sets of mutations. Detailed reviews on these algorithms can be found elsewhere [,,]. Another structure-based machine learning tool that we frequently use is MAESTRO, which is particularly designed for exhaustive screening of single-point as well as multi-point (de)stabilizing mutations. It predicts stability changes in terms of ΔΔG with an accuracy compar […]

MAESTRO institution(s)
Department of Molecular Biology, University of Salzburg, Salzburg, Austria; School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg, Austria
MAESTRO funding source(s)
This work was partly funded by the Austrian Science Fund (FWF) grant P26997.

MAESTRO reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MAESTRO