Chromosome-Condensation

A simple biophysical model for chromosome condensation simulations

Table of Contents

• About ‘Chromosome-condensation’

• Getting Started

• Usage

• Output & visualization

• Documentation

• License

• Contact

• Acknowledgements


About ‘Chromosome-condensation’

‘Chromosome-condesation’ code is a C++ biophysical software designed for Brownian dynamics of chromatin condensation with two distinct mechanisms – ‘diffusion capture’ which is based on pairwise interactions between chromatin loci or between particles mimicking condensin/cohesin, and ‘loop extrusion’, resulting in formation of chromatin loops. ‘Chromo-sim’ can be also used for simple Brownian dynamics simulations of free polymers without any condensation mechanisms (Yasu’s paper). For in-depth description of the model and biophysical algorithms applied, please see https://www.biorxiv.org/content/10.1101/2020.10.15.341305v1.

Getting Started

This is an example of how you may set up the code running for your projects locally.

Prerequisites

  • C++ built-in
  • Visualization software such as Chimera, VMD or PyMOL

Installation

  1. You can download the code (initConfig.hpp, initConfig.cpp, initDynamics.hpp, initDynamics.cpp, chromoCell.cpp, Makefile)
  2. Or you can clone the repo: git clone https://github.com/FrancisCrickInstitute/Chromosome-Condensation

Usage

First, create a folder where you want to run simulations: mkdir test_sim

cd test_sim

Make sure you copy all the code files from chromo_sim_code to the folder where you want to run simulations: cp path_to_code_folder/chromo_sim_code/* ./

Next, set up parameters in the initConfig.hpp (for parameter description see Documentation) and then compile the code: make

Run the simulation: ./chromo

Output & visualization

The main output of code are PDB files from specific timepoints with coordinates of polymer and condensin/cohesin proteins. These can be visalized using Chimera, VMD or PyMOL. There are additional output files to monitor further events in the simulations (Documentation) you can opt for.

Documentation – parameters

The ‘Chromosome-condensation’ code consists of several files:

  • initConfig.hpp = includes parameter settings and declaration of functions that initialise the chromatin chain and binders
  • initConfig.cpp = includes definition of functions that initialise the chromatin chain and binders
  • initDynamics.hpp = includes declaration of functions that describe the dynamical evolution of chromatin chain and binders, including those detail rules of diffusion capture and loop extrusion
  • initDynamics.cpp = includes definition of functions that describe the dynamical evolution of chromatin chain and binders, including those detail rules of diffusion capture and loop extrusion
  • chromoCell.cpp = includes functions to call functions in files above to simulate the dynamical evolution of chromatin condensation

General parameter set up can be adjusted in initConfig.hpp file. README_parameters.xlsx contains more in-depth description of polymer simulation parameters.

Optional output files and their corresponding parameters are: • chromoPDB*.pdb = PDB file format of chromatin chain with binders/condensin in selected time point

DC_stats_index2.txt = number of diffusion capture interactions/pairs in time

binder_attach_site.txt = site on chromatin chain where binders are attached

loop_size.txt = loops sizes in time

nested_loops.txt = number of nested loops in time

voxMap_occupancy.txt = number of beads in each voxel

voxMap_occupancy2new.txt = number of occupied voxels

msd_bead_coord.txt = coordinate monitoring in selected time windows, used for further MSD and anisotropy calculations

License

Distributed under The Francis Crick Institute License.

Contact

Acknowledgements

This code was developed under the Biomolecular Modelling Laboratory https://www.crick.ac.uk/research/labs/paul-bates at Francis Crick Institute (https://www.crick.ac.uk/ ) as a part of collaboration with Chromosome Segregation Laboratory https://www.crick.ac.uk/research/labs/frank-uhlmann. Please cite our paper (https://www.biorxiv.org/content/10.1101/2020.10.15.341305v1) when using the code.