DynMoCo: A novel AI framework to reveal modular substructures of protein from molecular dynamics
- DOI
- 10.1016/j.bpj.2026.03.034
- Published
- 2026-08
- Container
- Biophysical Journal
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bpj.2026.03.034,
title = {DynMoCo: A novel AI framework to reveal modular substructures of protein from molecular dynamics},
author = {Lingchao Mao and Mingu Kwak and Amir Hossein Kazemipour Ashkezari and Zhenhai Li and Peiwen Cong and Yunfeng Chen and Jung Hun Phee and Sooyeon Kang and Jing Li and Cheng Zhu},
year = {2026},
journal = {Biophysical Journal},
doi = {10.1016/j.bpj.2026.03.034},
url = {https://doi.org/10.1016/j.bpj.2026.03.034}
}RIS
TY - JOUR TI - DynMoCo: A novel AI framework to reveal modular substructures of protein from molecular dynamics AU - Lingchao Mao AU - Mingu Kwak AU - Amir Hossein Kazemipour Ashkezari AU - Zhenhai Li AU - Peiwen Cong AU - Yunfeng Chen AU - Jung Hun Phee AU - Sooyeon Kang AU - Jing Li AU - Cheng Zhu PY - 2026 JO - Biophysical Journal DO - 10.1016/j.bpj.2026.03.034 UR - https://doi.org/10.1016/j.bpj.2026.03.034 ER -
APA
Mao, L., Kwak, M., Ashkezari, A. H. K., Li, Z., Cong, P., Chen, Y., Phee, J. H., Kang, S., Li, J., & Zhu, C. (2026). DynMoCo: A novel AI framework to reveal modular substructures of protein from molecular dynamics. Biophysical Journal. https://doi.org/10.1016/j.bpj.2026.03.034
Source records
- crossref · retrieved 2026-09-26T02:56:14.293Z