ANGLOR specifications

Information


Unique identifier OMICS_10803
Name ANGLOR
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Protein sequence
Input format FASTA
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Yang Zhang

Information


Unique identifier OMICS_10803
Name ANGLOR
Interface Web user interface
Restrictions to use None
Input data Protein sequence
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Yang Zhang

Publication for ANGLOR

ANGLOR citations

 (2)
library_books

Protein ligand specific binding residue predictions by an ensemble classifier

2016
BMC Bioinformatics
PMCID: 5114821
PMID: 27855637
DOI: 10.1186/s12859-016-1348-3

[…] three-dimensional vector with a Boolean value is used to indicate the type of secondary structures defined as alpha-helix, beta-strand, and coil. The relative solvent accessibilities are predicted by ANGLOR [] which uses the neural network as the classifier, and only one Boolean value is used to illustrate whether the residue is buried (<25%) or exposed (>25%). The backbone torsion angles are also […]

library_books

Evaluation of Protein Dihedral Angle Prediction Methods

2014
PLoS One
PMCID: 4148315
PMID: 25166857
DOI: 10.1371/journal.pone.0105667

[…] PINE X. ANGLOR and TANGLE were developed on a dataset of 1989 proteins and achieved an MAE of 46°/28° (ANGLOR), 44.6°/27.8° (TANGLE).Presently, it is difficult to conclude which method among SPINE X, ANGLOR and TANGLE performs better than other, as these methods have been tested on different datasets. In this study, we have performed a benchmarking for principal prediction methods SPINE X and ANGL […]

ANGLOR institution(s)
Center for Bioinformatics and Department of Molecular Bioscience, University of Kansas, Lawrence, KS, USA
ANGLOR funding source(s)
The project is supported in part by the Alfred P. Sloan Foundation, NSF Career Award 0746198, and NIH grant GM-083107.

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