Native Contact Ratio as a Topological Metric for Machine Learning Based Molecular Docking
- DOI
- 10.1021/acs.jcim.6c01550
- Published
- 2026-07-30
- 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.6c01550,
title = {Native Contact
Ratio as a Topological Metric for Machine
Learning Based Molecular Docking},
author = {Zhenqiang Zhang and Zhihao Wang and Yang Liu and Xiangdong Liu and Shicai Xu and Yanmei Yang and Yuanyuan Qu and Weifeng Li},
year = {2026},
journal = {Journal of Chemical Information
and Modeling},
doi = {10.1021/acs.jcim.6c01550},
url = {https://doi.org/10.1021/acs.jcim.6c01550}
}RIS
TY - JOUR TI - Native Contact Ratio as a Topological Metric for Machine Learning Based Molecular Docking AU - Zhenqiang Zhang AU - Zhihao Wang AU - Yang Liu AU - Xiangdong Liu AU - Shicai Xu AU - Yanmei Yang AU - Yuanyuan Qu AU - Weifeng Li PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.6c01550 UR - https://doi.org/10.1021/acs.jcim.6c01550 ER -
APA
Zhang, Z., Wang, Z., Liu, Y., Liu, X., Xu, S., Yang, Y., Qu, Y., & Li, W. (2026). Native Contact Ratio as a Topological Metric for Machine Learning Based Molecular Docking. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01550
Source records
- crossref · retrieved 2026-09-26T06:57:07.752Z