:: DESCRIPTION
MEDock (Maximum-Entropy based Docking) is a maximum-entropy based docking web server for efficient prediction of ligand binding sites
::DEVELOPER
Molecular Biomedical Informatics
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
MEDock: a web server for efficient prediction of ligand binding sites based on a novel optimization algorithm.
Chang DT, Oyang YJ, Lin JH.
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W233-8.
:: DESCRIPTION
This is FTProd, a plugin for VMD designed to characterize and identify cross-structural ‘hot spots’ in proteins. The program FTMAP identifies these druggable hot spots by docking a series of small molecular probes onto the protein surfaces. FTProd combines these output structures, clusters them, and displays them visually for easy comparison.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2013 Feb 1;29(3):393-4. doi: 10.1093/bioinformatics/bts689. Epub 2012 Nov 29.
Multistructural hot spot characterization with FTProd.
Votapka L, Amaro RE.
:: DESCRIPTION
PRNA is a novel classificationsoftware to identify the RNA binding sites in proteins by combining a new interacting feature (interaction propensity) with other sequence- and structure-based features
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Liu ZP, Wu LY, Wang Y, Zhang XS, and Chen L.
Prediction of protein-RNA binding sites by a random forest method with combined features.
Bioinformatics 26(13):1616-1622.
:: DESCRIPTION
HyFi identifies primer and microarray probe binding sites in genomic DNA.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Tobias Mann and William Stafford Noble
Efficient identification of DNA hybridization partners in a sequence database
Bioinformatics (2006) 22 (14): e350-e358.
:: DESCRIPTION
Cubic is a tool to be used for protein binding site prediction.
JCUBIC is a Java-based GUI for CUBIC program which can be used for transcription factor binding site prediction.
::DEVELOPER
the Computational Systems Biology Laboratory at the University of Georgia
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Victor Olman, Jizhu Lu, PhuongAn Dam, Zhengchang Su, Ying Xu.
CUBIC: Search for Binding Sites.
CSB 2004: 666-667