AnkPred statistics

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Citations per year

Number of citations per year for the bioinformatics software tool AnkPred
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Tool usage distribution map

This map represents all the scientific publications referring to AnkPred per scientific context
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AnkPred specifications

Information


Unique identifier OMICS_11570
Name AnkPred
Alternative name Ankyrin Repeat Identification by Graph Spectral Analysis
Interface Web user interface
Restrictions to use None
Input data A user can enter a PDB Id or upload a structure in PDB format as input and identify ANK repeats by choosing the chain.
Output data The output of the tool gives the number of predicted repeat copies, the coordinates of the repeat units and the 3-dimensional structure of the protein with each repeat unit highlighted in a different color, the non-repeat region being in grey.
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Nita Parekh

Information


Unique identifier OMICS_11570
Name AnkPred
Alternative name Ankyrin Repeat Identification by Graph Spectral Analysis
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Requirements
Numpy, STRIDE
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Nita Parekh

Publication for Ankyrin Repeat Identification by Graph Spectral Analysis

AnkPred citation

library_books

Structural and Energetic Characterization of the Ankyrin Repeat Protein Family

2015
PLoS Comput Biol
PMCID: 4687027
PMID: 26691182
DOI: 10.1371/journal.pcbi.1004659

[…] ently define both the length and the phase of the ANK repeats. The structural detection of ANK repeats allowed us to detect instances that are completely missed when using other structural methods as AnkPred [] that fails to detect, for example, the sixth repeat on IκB-α (PdbID: 1ikn,D) or the repeats within the K1 protein from the Vaccinia virus (PdbID: 3kea,B). While the Console method [] is abl […]


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AnkPred institution(s)
Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, India
AnkPred funding source(s)
The authors acknowledge the support of CSIR for funding this work (37(1468)/11/EMR-II).

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