https://github.com/kull-centre/_2024_yasuda_rna
Science Score: 21.0%
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Basic Info
- Host: GitHub
- Owner: KULL-Centre
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 28.3 MB
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- Stars: 1
- Watchers: 1
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Created over 1 year ago
· Last pushed 11 months ago
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README.md
A coarse-grained model of disordered RNA for simulations of biomolecular condensates
This repository contains codes, raw data and parameter files that used to reproduce the results in "A coarse-grained model of disordered RNA for simulations of biomolecular condensates by Yasuda, I., von Bülow, S., Tesei, G., Yamamoto E., Yasuoka K. & Lindorff-Larsen, K. (2024)".
Layout
calvados/Codes and installation guide to run CALVADOS 2-RNA simulation as implemented in this work.analysis/Scrtipts to run analysisall-atom/All-atom structures of UCAAUC from [Bergonzo ,C., Grishaev, A., Bottaro, S., RNA, 28, 937–946 (2022)], and HCG_models from [Pietrek, L. M., Stelzl, L. S., Hummer, G., J. Chem. Theory Comput., 20, 2246–2260 (2024).]single-chain/Input files into calvados for single chain simulations of polyR30flory_exponent/Input files to run single chain simulations of polyR10-100400-chain/Input files into calvados for 400-chain simulations of polyR30FUSRGG3/Input files into calvados for FUSRGG simulations of polyR40FUSRGG3-1beadInput files into calvados (CALVADOS package version) for FUSRGG simulations of polyR40 using one-bead-per-nucleotide model.MED1/Input files into calvados for MED1 simulations of polyR40viewer1.ipynbJupyter Notebook to produce plots for the paper figures (Figure 2).viewer2.ipynbJupyter Notebook to produce plots for the paper figures (Figures 3 and 4).data/Files to generarte figures
Simulations can be run using prepare_full.py
python prepare_full.py
cd {name}/{temperature}/
python run.py
Continuing simulation can be run in the same directory of previous simulation,
python run.py
CALVADOS package information
This two-bead-per-nucleotide model is implemented in CALVADOS package. https://github.com/KULL-Centre/CALVADOS
Owner
- Name: Linderstrøm-Lang Centre for Protein Science, University of Copenhagen
- Login: KULL-Centre
- Kind: organization
- Location: Copenhagen, Denmark
- Website: https://www1.bio.ku.dk/english/research/bms/research/llc/
- Repositories: 8
- Profile: https://github.com/KULL-Centre
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