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dc.contributor.authorJoseph, Jerelle
dc.contributor.authorReinhardt, Aleks
dc.contributor.authorAguirre, Anne
dc.contributor.authorChew, Pin Yu
dc.contributor.authorRussell, Kieran
dc.contributor.authorRene Espinosa, Jorge
dc.contributor.authorGaraizar, Adiran
dc.contributor.authorCollepardo Guevara, Rosana
dc.date.accessioned2021-10-06T15:06:10Z
dc.date.available2021-10-06T15:06:10Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/329039
dc.descriptionThis file is part of the supporting data for the manuscript 'Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy', and contains scripts and code for running all-atom and coarse-grained simulations of proteins described in the manuscript. The included README file outlines the structure of the archive and contains Lammps installation instructions for running the remaining code supplied. There are five directories in this archive. Four of these correspond to figures in the results section of the manuscript, and each one contains a separate README file detailing its contents. They include Gromacs and Lammps scripts with example simulation set-ups to run simulations corresponding to figures 2 [potentials of mean force of all-atom models], 4 [radius of gyration simulations of coarse-grained models], 5 [direct-coexistence simulations used to determine the phase diagrams] and 6 [multiphase equilibria] of the manuscript. The directories contain input scripts and corresponding parameter and simulation configuration files, as well as example simulation output to benchmark against. The final directory, 'all-model-parameters', contains Lammps parameter files not only for the Mpipi potential, but also for all the other models we have benchmarked in the paper. These parameter files can be used instead of the Mpipi parameters in the simulations provided in the other directories.
dc.formatLammps, 10Mar2021; Gromacs 4.5
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectcoarse-grained modelling
dc.subjectliquid-liquid phase separation
dc.titleResearch data supporting 'Physics-driven coarse-grained model for biomolecular phase separation with near-quantitative accuracy'
dc.typeDataset
dc.identifier.doi10.17863/CAM.69854
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dcterms.formatplain text
dc.contributor.orcidRene Espinosa, Jorge [0000-0001-9530-2658]
dc.contributor.orcidCollepardo Guevara, Rosana [0000-0003-1781-7351]
rioxxterms.typeOther
pubs.funder-project-idEuropean Research Council (803326)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N509620/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/P020259/1)
datacite.issupplementto.doi10.1038/s43588-021-00155-3
datacite.issupplementto.urlhttps://www.repository.cam.ac.uk/handle/1810/331017


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)