BIOPOINT: A particle-based model for probing nuclear mechanics and cell-ECM interactions via experimentally derived parameters

Sandipan Chattaraj, Julius Zimmermann, Francesco Silvio Pasqualini

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DOI: 10.1371/journal.pcbi.1014113
Published: 2026-03-31
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014113,
  title = {BIOPOINT: A particle-based model for probing nuclear mechanics and cell-ECM interactions via experimentally derived parameters},
  author = {Sandipan Chattaraj and Julius Zimmermann and Francesco Silvio Pasqualini},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1014113},
  url = {https://doi.org/10.1371/journal.pcbi.1014113}
}

RIS

TY  - JOUR
TI  - BIOPOINT: A particle-based model for probing nuclear mechanics and cell-ECM interactions via experimentally derived parameters
AU  - Sandipan Chattaraj
AU  - Julius Zimmermann
AU  - Francesco Silvio Pasqualini
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1014113
UR  - https://doi.org/10.1371/journal.pcbi.1014113
ER  -

APA

Chattaraj, S., Zimmermann, J., & Pasqualini, F. S. (2026). BIOPOINT: A particle-based model for probing nuclear mechanics and cell-ECM interactions via experimentally derived parameters. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014113

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crossref · retrieved 2026-09-27T03:07:40.196Z