LiCABEDS statistics

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LiCABEDS specifications


Unique identifier OMICS_24836
Alternative name Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
License GNU General Public License version 2.0
Computer skills Advanced
Stability Stable
Maintained No


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Publication for Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps

LiCABEDS in publication

PMCID: 4896471
PMID: 27271158
DOI: 10.1371/journal.pone.0156986

[…] svm (support vector machines) algorithm to solve multiclass predictions and compound ranking to distinguish between selective, active but non-selective, and inactive compounds [], and the licabeds (ligand classifier of adaptively boosting ensemble decision stumps) algorithm to model cannabinoid cb1/cb2 selectivity []., among fourteen 5-ht receptor (5-htr) subtypes, 5-ht7r represents […]

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LiCABEDS institution(s)
Department of Pharmaceutical Sciences, School of Pharmacy, Computational Chemical Genomics Screening Center, University of Pittsburgh, Pittsburgh, PA, USA; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Chemical Methodologies & Library Development (UPCMLD), University of Pittsburgh, Pittsburgh, PA, USA; Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
LiCABEDS funding source(s)
Supported by grants NIH R01 DA025612 and NIGMS P50-GM067082.

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