KNexPHENIX: A PHENIX-Based Workflow for Improving Cryo-EM and Crystallographic Structural Models

Suparno Nandi, Graeme L. Conn

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DOI: 10.1021/acs.jcim.5c02404
Published: 2026-06-09
Container: Journal of Chemical Information and Modeling
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.5c02404,
  title = {KNexPHENIX: A PHENIX-Based Workflow for Improving Cryo-EM and Crystallographic Structural Models},
  author = {Suparno Nandi and Graeme L. Conn},
  year = {2026},
  journal = {Journal of Chemical Information and Modeling},
  doi = {10.1021/acs.jcim.5c02404},
  url = {https://doi.org/10.1021/acs.jcim.5c02404}
}

RIS

TY  - JOUR
TI  - KNexPHENIX: A PHENIX-Based Workflow for Improving Cryo-EM and Crystallographic Structural Models
AU  - Suparno Nandi
AU  - Graeme L. Conn
PY  - 2026
JO  - Journal of Chemical Information and Modeling
DO  - 10.1021/acs.jcim.5c02404
UR  - https://doi.org/10.1021/acs.jcim.5c02404
ER  -

APA

Nandi, S., & Conn, G. L. (2026). KNexPHENIX: A PHENIX-Based Workflow for Improving Cryo-EM and Crystallographic Structural Models. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.5c02404

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crossref · retrieved 2026-09-25T23:22:46.867Z