MBSTAR – microRNA Binding Site Prediction tool

MBSTAR

:: DESCRIPTION

MBSTAR (Multiple instance learning of Binding Sites of miRNA TARgets) is a web server for accurate prediction of true or functional miRNA binding sites.

::DEVELOPER

Bioinformatics Lab (MIU)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 MBSTAR

:: MORE INFORMATION

Citation

Sci Rep. 2015 Jan 23;5:8004. doi: 10.1038/srep08004.
MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets.
Bandyopadhyay S, Ghosh D, Mitra R, Zhao Z

TargetATP – Predicting Protein-ATP Binding Site

TargetATP

:: DESCRIPTION

TargetATP is a full-featured GUI application for targeting protein-ATP binding residues in protein sequences, consisting of two parts of local client and remote server.

::DEVELOPER

Pattern Recognition and Bioinformatics Group, Shanghai Jiao Tong University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux
  • Java

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

J Comput Chem. 2013 Apr 30;34(11):974-85. doi: 10.1002/jcc.23219. Epub 2013 Jan 3.
TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.
Yu DJ1, Hu J, Huang Y, Shen HB, Qi Y, Tang ZM, Yang JY.

motifbreakR – Predicting Variant Effects at Transcription Factor Binding Sites

motifbreakR

:: DESCRIPTION

motifbreakR is a package for predicting the disruptiveness Of Single Nucleotide Polymorphisms on transcription factor binding sites.

::DEVELOPER

motifbreakR team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • R

:: DOWNLOAD

motifbreakR

:: MORE INFORMATION

Citation

motifbreakR: an R/Bioconductor package for predicting variant effects at transcription factor binding sites.
Coetzee SG, Coetzee GA, Hazelett DJ.
Bioinformatics. 2015 Aug 12. pii: btv470.

PS-HomPPI v1.3 / NPS-HomPPI – Protein-Protein Binding Site Predictor

PS-HomPPI v1.3 / NPS-HomPPI

:: DESCRIPTION

PS-HomPPI is a sequence-based partner-specific protein-protein interface residue prediction server.

NPS-HomPPI is a sequence-based non-partner-specific protein-protein interface residue prediction server.

::DEVELOPER

Artificial Intelligence Research Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2011 Jun 17;12:244. doi: 10.1186/1471-2105-12-244.
HomPPI: a class of sequence homology based protein-protein interface prediction methods.
Xue LC1, Dobbs D, Honavar V.

JBD – Detect Binding Sites based on ChIP-chip data and Guides

JBD

:: DESCRIPTION

JBD (Joint Binding Deconvolution) uses additional easily obtainable experimental data about chromatin immunoprecipitation (ChIP) to improve the spatial resolution of the transcription factor binding locations inferred from ChIP followed by DNA microarray hybridization (ChIP-Chip) data.

::DEVELOPER

the Gifford Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/MacOsX
  • Matlab

:: DOWNLOAD

  JBD

:: MORE INFORMATION

Citation

Nat Biotechnol. 2006 Aug;24(8):963-70.
High-resolution computational models of genome binding events.
Qi Y, Rolfe A, MacIsaac KD, Gerber GK, Pokholok D, Zeitlinger J, Danford T, Dowell RD, Fraenkel E, Jaakkola TS, Young RA, Gifford DK.

eMatchSite 1.0 – Sequence Order-independent Ligand Binding Site Alignment

eMatchSite 1.0

:: DESCRIPTION

eMatchSite is a sequence order-independent algorithm for ligand binding site alignment and matching. It accurately identifies pairs of pockets that bind similar compounds even in proteins with different global structures. Furthermore, it tolerates structural distortions in protein models, thus experimentally solved structures are not required.

::DEVELOPER

Computational Systems Biology Group,

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 eMatchSite

:: MORE INFORMATION

Citation

eMatchSite: sequence order-independent structure alignments of ligand binding pockets in protein models.
Brylinski M.
PLoS Comput Biol. 2014 Sep 18;10(9):e1003829. doi: 10.1371/journal.pcbi.1003829.

SiTaR – Transcription Factor Binding Site Prediction

SiTaR

:: DESCRIPTION

SiTaR (Site Tracking and Recognition) is a novel tool for transcription factor binding site prediction.

::DEVELOPER

SiTaR team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

SiTaR: a novel tool for transcription factor binding site prediction.
Fazius E, Shelest V, Shelest E.
Bioinformatics. 2011 Oct 15;27(20):2806-11. doi: 10.1093/bioinformatics/btr492.

BiSA 0.96 – Genomic Regions Binding Sites Analysis

BiSA 0.96

:: DESCRIPTION

BiSA (Binding sites analyser) is a database driven software and stores all of its data in a relational database management system (RDBMS) such as SQL Server in Windows or PostgreSQL on Linux.

::DEVELOPER

BiSA team

:: SCREENSHOTS

bisa

:: REQUIREMENTS

  • Linux/ WIndows
  • SQL Server

:: DOWNLOAD

 BiSA

:: MORE INFORMATION

Citation

Binding sites analyser (BiSA): software for genomic binding sites archiving and overlap analysis.
Khushi M, Liddle C, Clarke CL, Graham JD.
PLoS One. 2014 Feb 12;9(2):e87301. doi: 10.1371/journal.pone.0087301.

ChIPCor 1.1.0 – Measuring the Spatial Correlations of Protein Binding Sites

ChIPCor 1.1.0

:: DESCRIPTION

ChIPCor is a testing procedure for evaluating the significance of overlapping from a pair of proteins by leveraging information from publicly available data.

::DEVELOPER

ChIPCor team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

 ChIPCor

:: MORE INFORMATION

Citation:

Measuring the spatial correlations of protein binding sites.
Wei Y, Wu H.
Bioinformatics. 2016 Feb 9. pii: btw058.

TFBS 0.7.1 – Perl modules for Transcription Factor Binding Site Detection and Analysis

TFBS 0.7.1

:: DESCRIPTION

TFBS is a set of integrated, object-oriented Perl modules for transcription factor binding site detection and analysis. It implements objects representing specificity profile matrices, binding sites and sets thereof, pattern generators, and pattern database interfaces.

::DEVELOPER

Computational Regulatory Genomics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 TFBS

:: MORE INFORMATION

Citation:

Lenhard B., Wasserman W.W. (2002)
TFBS: Computational framework for transcription factor binding site analysis.
Bioinformatics 18:1135-1136