BINANA 1.2.0 – Analyzing Ligand Binding

BINANA 1.2.0

:: DESCRIPTION

BINANA (BINding ANAlyzer) is a python-implemented algorithm for analyzing ligand binding. The program identifies key binding characteristics like hydrogen bonds, salt bridges, and pi interactions.

::DEVELOPER

Jacob Durrant, @ the lab of Rommie E. Amaro

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python

:: DOWNLOAD

BINANA

:: MORE INFORMATION

Citation

J Mol Graph Model. 2011 Apr;29(6):888-93. doi: 10.1016/j.jmgm.2011.01.004. Epub 2011 Jan 19.
BINANA: a novel algorithm for ligand-binding characterization.
Durrant JD1, McCammon JA.

ILbind – Consensus-based Inverse Ligand Binding Predictor

ILbind

:: DESCRIPTION

ILbind is a consensus predictor that combines the two complementary inverse ligand binding predictors implemented using FINDSITE and SMAP and Support Vector Machines.

::DEVELOPER

Kurgan Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 ILbind

:: MORE INFORMATION

Citation

Hu G, Gao J, Wang K, Mizianty MJ, Ruan J, Kurgan L.
Finding protein targets for small biologically relevant ligands across fold space using inverse ligand binding predictions.
Bioinformatics. 2014 Aug 28. pii: btu581. [Epub ahead of print]

FINDSITE 1.0 – Ligand-binding Site Prediction & Functional Annotation

FINDSITE 1.0

:: DESCRIPTION

FINDSITE is a threading-based binding site prediction/protein functional inference/ligand screening algorithm that detects common ligand binding sites in a set of evolutionarily related proteins. Crystal structures as well as protein models can be used as the target structures.

::DEVELOPER

Center for the Study of Systems Biology

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

FINDSITE

:: MORE INFORMATION

Citation

Skolnick J and Brylinski M (2009)
FINDSITE: a combined evolution/structure-based approach to protein function prediction.
Brief Bioinform 10:378-91