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


Versioning


Add your version

Maintainer


Publications for MAESTRO

MAESTRO in publication

PMCID: 5490637
PMID: 28290225
DOI: 10.1080/14760584.2017.1306441

[…] 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 […]


To access a full list of publications, you will need to upgrade to our premium service.

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