RT Journal Article
SR Electronic
T1 mol2sphere: Spherical Decomposition of Multi-Domain Molecules for Visualization and Coarse Grained Spatial Modeling
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 257857
DO 10.1101/257857
A1 Joseph Masison
A1 Paul J. Michalski
A1 Leslie M. Loew
A1 Adam D. Schuyler
YR 2018
UL http://biorxiv.org/content/early/2018/01/31/257857.abstract
AB Summary Proteins, especially those involved in signaling pathways are composed of functional modules consisting of long strings of amino acids. These functional “domains” are linked together in geometric arrangements that can be rigid or flexible, depending on the nature of the linker domains. To understand the structure-function relationships in these macromolecules, it would be helpful to visualize the geometric arrangement of domains. Furthermore, accurate spatial representation of domain structure is necessary for coarse-grain models of the multi-molecular interactions that comprise signaling pathways. Here we introduce a new tool, mol2sphere, that transforms the atomistic structure of a macromolecule into a series of linked spheres corresponding to domains. mol2sphere does this with a k-means clustering algorithm. It may be used for visualization or for coarse grain modeling and simulation.Availability and implementation mol2sphere is available as both a plugin for PyMOL and as a new feature within the SpringSaLaD modeling and simulation software. They run on all desktop platforms and are available with documentation at, respectively, https://nmrbox.org/registry/mol2sphere and http://vcell.org/ssalad. Source code is available for the PyMOL (and python) implementations on the NMRbox platform and for the SpringSaLaD implementation at https://github.com/jmasison/SpringSaLaD.