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PreprintAll rights reservedbioRxiv

Frustration Quenching and Network Topology of the Energy Landscape as Primary Determinants of Protein-Ligand Binding Pose Prediction by Deep Learning Models

  1. 1Chapman University School of Pharmacy

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BibTeX
@misc{turano2026frustration,
  title = {{Frustration Quenching and Network Topology of the Energy Landscape as Primary Determinants of Protein-Ligand Binding Pose Prediction by Deep Learning Models}},
  author = {L. Turano and B. Foley and R. Dennis and W. Gatlin and G. Verkhivker},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.05.756861},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.05.756861v1},
}
RIS
TY  - UNPB
TI  - Frustration Quenching and Network Topology of the Energy Landscape as Primary Determinants of Protein-Ligand Binding Pose Prediction by Deep Learning Models
AU  - L. Turano
AU  - B. Foley
AU  - R. Dennis
AU  - W. Gatlin
AU  - G. Verkhivker
PY  - 2026
DA  - 2026/10/05
PB  - bioRxiv
DO  - 10.64898/2026.10.05.756861
UR  - https://www.biorxiv.org/content/10.64898/2026.10.05.756861v1
ER  -