Literature DB >> 29931043

mol2sphere: spherical decomposition of multi-domain molecules for visualization and coarse grained spatial modeling.

Joseph Masison1, Paul J Michalski1, Leslie M Loew1, Adam D Schuyler2.   

Abstract

Motivation: Proteins, especially those involved in signaling pathways are composed of functional modules connected by linker domains with varying degrees of flexibility. To understand the structure-function relationships in these macromolecules, it is 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.
Results: We introduce a new tool, mol2sphere, that transforms the atomistic structure of a macromolecule into a series of linked spheres corresponding to domains. It does this with a k-means clustering algorithm. It may be used for visualization or for coarse grain modeling and simulation. Availability and implementation: PyMOL plugin, source, and documentation. https://nmrbox.org/registry/mol2sphere. SpringSaLaD executables and documentation: http://vcell.org/ssalad, SpringSaLaD v.2 source: https://github.com/jmasison/SpringSaLaD.

Mesh:

Substances:

Year:  2018        PMID: 29931043      PMCID: PMC6658811          DOI: 10.1093/bioinformatics/bty487

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  The Interplay of Structural and Cellular Biophysics Controls Clustering of Multivalent Molecules.

Authors:  Aniruddha Chattaraj; Madeleine Youngstrom; Leslie M Loew
Journal:  Biophys J       Date:  2019-01-07       Impact factor: 4.033

2.  MVsim is a toolset for quantifying and designing multivalent interactions.

Authors:  Bence Bruncsics; Wesley J Errington; Casim A Sarkar
Journal:  Nat Commun       Date:  2022-09-06       Impact factor: 17.694

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.