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LiCABEDS specifications

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Unique identifier OMICS_24836
Name LiCABEDS
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 citation

library_books

An Algorithm to Identify Target Selective Ligands – A Case Study of 5 HT7/5 HT1A Receptor Selectivity

2016
PLoS One
PMCID: 4896471
PMID: 27271158
DOI: 10.1371/journal.pone.0156986

[…] ssification 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 the […]


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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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