STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features.
- DOI
- 10.34133/csbj.0201
- Published
- 2026
- Container
- Computational and structural biotechnology journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.34133/csbj.0201,
title = {STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features.},
author = {Voshall A and Chae J and Li H and Ko J and Rahman N and Park W and Lee EA and Choi Y},
year = {2026},
journal = {Computational and structural biotechnology journal},
doi = {10.34133/csbj.0201},
url = {https://doi.org/10.34133/csbj.0201}
}RIS
TY - JOUR TI - STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features. AU - Voshall A AU - Chae J AU - Li H AU - Ko J AU - Rahman N AU - Park W AU - Lee EA AU - Choi Y PY - 2026 JO - Computational and structural biotechnology journal DO - 10.34133/csbj.0201 UR - https://doi.org/10.34133/csbj.0201 ER -
APA
A, V., J, C., H, L., J, K., N, R., W, P., EA, L., & Y, C. (2026). STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features.. Computational and structural biotechnology journal. https://doi.org/10.34133/csbj.0201
Source records
- pubmed · retrieved 2026-09-27T09:24:50.925Z