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Published July 27, 2022 | Version 1.0
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CALVADOS: Coarse-graining Approach to Liquid-liquid phase separation Via an Automated Data-driven Optimisation Scheme

  • 1. University of Copenhagen
  • 2. University of Copenhagen & CSIC-Institute for Advanced Chemistry of Catalonia

Description

This repository contains Python code to run coarse-grained molecular dynamics simulations of intrinsically disordered proteins (IDPs) using the CALVADOS model.

Layout

  • single_chain/: Python code to run single-chain simulations of IDPs using the CALVADOS model. python submit.py submits a simulation of a single ACTR chain on a single CPU.
  • direct_coexistence/: Python code to run multi-chain simulations of IDPs using the CALVADOS model in slab geometry. python submit.py submits a direct-coexistence simulation of 100 A1 LCD chains on a single GPU.

In the examples, direct-coexistence and single-chain simulations are performed using openMM and HOOMD-blue installed with mphowardlab/azplugins, respectively.

This repository is also available at github.com/KULL-Centre/CALVADOS.

Usage

To run the code, install Miniconda and make sure all required packages are installed by issuing the following terminal commands

conda env create -f environment.yml
source activate calvados

References

G. Tesei, T. K. Schulze, R. Crehuet, and K. Lindorff-Larsen. PNAS 118(44), 2021. DOI: 10.1073/pnas.2111696118

G. Tesei and K. Lindorff-Larsen. Open Res Europe 2:94, 2022. DOI: 10.12688/openreseurope.14967.1

Files

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Additional details

Funding

InMIND – Intervention in Neurodegenerative disorders via Mechanistic INsight into liquid-like Droplets 101025063
European Commission