Systematic Partitioning of Proteins for Quantum-Chemical Fragmentation Methods Using Graph Algorithms

Mario Wolter, Moritz von Looz, Henning Meyerhenke, Christoph R. Jacob

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DOI: 10.1021/acs.jctc.0c01054
Published: 2021-02-16
Container: Journal of Chemical Theory and Computation
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.0c01054,
  title = {Systematic Partitioning of Proteins for Quantum-Chemical Fragmentation Methods Using Graph Algorithms},
  author = {Mario Wolter and Moritz von Looz and Henning Meyerhenke and Christoph R. Jacob},
  year = {2021},
  journal = {Journal of Chemical Theory and Computation},
  doi = {10.1021/acs.jctc.0c01054},
  url = {https://doi.org/10.1021/acs.jctc.0c01054}
}

RIS

TY  - JOUR
TI  - Systematic Partitioning of Proteins for Quantum-Chemical Fragmentation Methods Using Graph Algorithms
AU  - Mario Wolter
AU  - Moritz von Looz
AU  - Henning Meyerhenke
AU  - Christoph R. Jacob
PY  - 2021
JO  - Journal of Chemical Theory and Computation
DO  - 10.1021/acs.jctc.0c01054
UR  - https://doi.org/10.1021/acs.jctc.0c01054
ER  -

APA

Wolter, M., Looz, M. V., Meyerhenke, H., & Jacob, C. R. (2021). Systematic Partitioning of Proteins for Quantum-Chemical Fragmentation Methods Using Graph Algorithms. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.0c01054

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crossref · retrieved 2026-09-25T05:51:17.375Z