HybTrans: A Molecular Generation and Optimization Model Integrating Protein Pocket Sequence and Structural Information
Deep learning models for drug discovery offer broader chemical space exploration and generate more novel molecules compared to traditional methods. Deep learning models currently used in drug design can be divided into two main categories: those based on ligands and those based on protein pockets. H...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/25/bioconf_icbb2025_03012.pdf |
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