Published July 22, 2025
| Version v1
Computational notebook
Open
Code for: Unraveling learning characteristics of transformer models for molecular design
Authors/Creators
- 1. Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry Rheinische Friedrich-Wilhelms-Universität Friedrich-Hirzebruch-Allee 5/6 53115 Bonn Germany
Description
The following repository contains the results and analysis as presented in 'Unraveling learning characteristics of transformer models for molecular design' submitted
Files
sequence_based_drug_design_transformer.zip
Files
(3.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:d1d47bb07d85c98288fc2cbd7ed7c561
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3.0 GB | Preview Download |
Additional details
Software
- Programming language
- Python