Deep Learning in Modeling Tools for Structural Insights into Protein–RNA Complexes, Bridging Computational and Spectroscopic Approaches
- DOI
- 10.1007/978-1-0716-5084-4_17
- Published
- 2026
- Container
- Methods in Molecular Biology
- Publisher
- Springer US
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-1-0716-5084-4_17,
title = {Deep Learning in Modeling Tools for Structural Insights into Protein–RNA Complexes, Bridging Computational and Spectroscopic Approaches},
author = {Mathieu Long and Serena Bernacchi},
year = {2026},
journal = {Methods in Molecular Biology},
doi = {10.1007/978-1-0716-5084-4_17},
url = {https://doi.org/10.1007/978-1-0716-5084-4_17}
}RIS
TY - JOUR TI - Deep Learning in Modeling Tools for Structural Insights into Protein–RNA Complexes, Bridging Computational and Spectroscopic Approaches AU - Mathieu Long AU - Serena Bernacchi PY - 2026 JO - Methods in Molecular Biology DO - 10.1007/978-1-0716-5084-4_17 UR - https://doi.org/10.1007/978-1-0716-5084-4_17 ER -
APA
Long, M., & Bernacchi, S. (2026). Deep Learning in Modeling Tools for Structural Insights into Protein–RNA Complexes, Bridging Computational and Spectroscopic Approaches. Methods in Molecular Biology. https://doi.org/10.1007/978-1-0716-5084-4_17
Source records
- crossref · retrieved 2026-09-25T08:15:46.959Z