This package contains the functions necessary to run the LOGICOIL algorithm. LOGICOIL can be used to differentiate between antiparallel dimers, parallel dimers, trimers and higher-order coiled-coil sequence. By covering >90 percent of the known coiled-coil structures, LOGICOIL is a net improvement compared with other existing methods, which achieve a predictive coverage of around 31 percent of this population. As such, LOGICOIL is particularly useful for researchers looking to characterize novel coiled-coil sequences or studying coiled-coil containing protein assemblies. It may also be used to assist in the structural characterization of synthetic coiled-coil sequences.
|Author||Thomas L. Vincent <firstname.lastname@example.org>, Peter J. Green and Derek N. Woolfson <D.N.Woolfson@bristol.ac.uk>|
|Date of publication||2014-04-14 00:04:00|
|Maintainer||Thomas L. Vincent <email@example.com>|
|License||GPL (>= 2)|
EstimateProbability: Estimate oligomeric state score at each position of the input...
LOGICOIL: Predict oligomerization state of coiled-coil sequences.
LOGICOILfit: Fit of the multinomial log-linear model obtained from the...
LOGICOIL-package: Predict oligomerization state of coiled-coil sequences.
Model_Parameters: Model parameters for the LOGICOIL prediction algorithm.
plot_LOGICOIL: Plot the LOGICOIL scores
pssm: Profile scoring matrix derived from the LOGICOIL training...
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.