Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.17364504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p>This record provides the single-cell immune repertoire sequencing (scRepertoire-seq) dataset and the corresponding optimization of the STM004 single-chain variable fragment (scFv) using a deep reinforcement learning model, MatuRL, as described in “AI-guided scFv engineering enhances T cell–specific cytotoxicity toward cancer cells.”Both datasets support the analyses and findings presented in the study.</p>