sudo apt-get install python-setuptools python-dev sudo easy_install pip sudo pip install pyteomics.biolccc
Download pre-compiled binary packages from the list below
If you have Enthought Python Distribution / ActivePython, execute in the command line:
easy_install pip pip install pyteomics.biolccc
BioLCCC (Liquid Chromatography of Biomacromolecules at Critical Conditions) is a model describing the adsorption of protein molecules on porous media. Its main application is retention time prediction in liquid chromatography, although the list of potential applications can be easily extended. Contrary to the other models of peptide/protein chromatography, BioLCCC starts from very basic assumptions regarding flexibility of a polypeptide chain, the shape of a pore, the type of interactions neglected, etc. Given these assumptions, the coefficient of distribution (Kd) of a peptide between the solid and mobile phases can be derived using the methods of statistical physics of macromolecules. Finally, the retention time of a peptide is calculated from Kd using the basic equation of gradient chromatography.
Owing to the physical basis of the BioLCCC model, it contains very few free parameters. The retention properties of an amino acid are characterized by a single number, which is essentially the energy of interaction between the amino acid and the surface of solid phase in pure water+ion paring agent. Given this small number of phenomenological parameters, the BioLCCC model can be easily adapted for an arbitrary type of chromatography not limited by phase or solvent types. Moreover, its extension to peptides with post-translational modifications is straightforward as it was shown for the phosphorylated amino acids.
Several papers regarding BioLCCC model were published:
1. Liquid Chromatography at Critical Conditions: Comprehensive Approach to Sequence-Dependent Retention Time Prediction, Alexander V. Gorshkov, Irina A. Tarasova, Victor V. Evreinov, Mikhail M. Savitski, Michael L. Nielsen, Roman A. Zubarev, and Mikhail V. Gorshkov, Analytical Chemistry, 2006, 78 (22), 7770-7777. Link: http://dx.doi.org/10.1021/ac060913x.
2. Applicability of the critical chromatography concept to proteomics problems: Dependence of retention time on the sequence of amino acids, Alexander V. Gorshkov A., Victor V. Evreinov V., Irina A. Tarasova, Mikhail V. Gorshkov, Polymer Science B, 2007, 49 (3-4), 93-107. Link: http://dx.doi.org/10.1134/S1560090407030098.
3. Applicability of the critical chromatography concept to proteomics problems: Experimental study of the dependence of peptide retention time on the sequence of amino acids in the chain, Irina A. Tarasova, Alexander V. Gorshkov, Victor V. Evreinov, Chris Adams, Roman A. Zubarev, and Mikhail V. Gorshkov, Polymer Science A, 2008, 50 (3), 309. Link: http://www.springerlink.com/content/gnh84v62w960747n/.
4. Retention time prediction using the model of liquid chromatography of biomacromolecules at critical conditions in LC-MS phosphopeptide analysis, Tatiana Yu. Perlova, Anton A. Goloborodko, Yelena Margolin, Marina L. Pridatchenko, Irina A. Tarasova, Alexander V. Gorshkov, Eugene Moskovets, Alexander R. Ivanov and Mikhail V. Gorshkov, Accepted to Proteomics. Link: http://dx.doi.org/10.1002/pmic.200900837.
libBioLCCC is an open source library, which implements the BioLCCC model in C++ programming language. It performs basic BioLCCC-related tasks, such as:
libBioLCCC has a simple and well-documented API.
pyteomics.biolccc is a set of Python wrappings around libBioLCCC. It allows to invoke libBioLCCC functions from Python programming language.
The main purpose of pyteomics.biolccc is to make libBioLCCC available in a programming language not so demanding as C++. The choice of Python is dictated by several points. Among them are simplicity, the great variety of libraries and the extreme speed of development which could be very well appreciated in the modern scientific world.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.
TODO: Brief introduction on what you do with files - including link to relevant help section.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pyteomics.biolccc-1.5.0.tar.gz (110.6 kB) Copy SHA256 Checksum SHA256||–||Source||Feb 10, 2012|
|pyteomics.biolccc-1.5.0.win32-py2.6.exe (351.9 kB) Copy SHA256 Checksum SHA256||2.6||Windows Installer||Feb 10, 2012|
|pyteomics.biolccc-1.5.0.win32-py2.7.exe (352.0 kB) Copy SHA256 Checksum SHA256||2.7||Windows Installer||Feb 10, 2012|
|pyteomics.biolccc-1.5.0.win-amd64-py2.6.exe (424.3 kB) Copy SHA256 Checksum SHA256||2.6||Windows Installer||Feb 10, 2012|
|pyteomics.biolccc-1.5.0.win-amd64-py2.7.exe (424.3 kB) Copy SHA256 Checksum SHA256||2.7||Windows Installer||Feb 10, 2012|