AutoQSAR statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Unclassified tools chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

AutoQSAR specifications

Information


Unique identifier OMICS_18746
Name AutoQSAR
Software type Package/Module
Interface Command line interface
Restrictions to use License purchase required
Input data 1D, 2D or 3D structural data.
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline Matthew Repasky <>

Additional information


A registration is needed to access to tool. https://www.schrodinger.com/training/autoqsar-workshop-tutorial

Publication for AutoQSAR

AutoQSAR in publication

PMCID: 5770354
PMID: 29340790
DOI: 10.1186/s13321-017-0256-5

[…] past decade, attempts have been made to attract the attentions towards the need of automation of the qsar modelling process. more recently, dixon et al. [] developed a machine-learning application (autoqsar) for automated qsar modeling. it is unable to access data directly from online repositories and users required deep understanding to prepare a curated and standardized data set […]


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

AutoQSAR institution(s)
Schrödinger, Inc., New York, NY, USA; Schrödinger GmbH, Mannheim, Baden-Württemberg, Germany; Schrödinger, Inc., Portland, OR, USA
AutoQSAR funding source(s)
Supported by Schrödinger, Inc.

AutoQSAR reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review AutoQSAR