Graph_RG
Graph_RG: two-stream graph transformer, ligand pose-free structure-based affinity model.
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- Graph_RG (CASP16 and ChEMBL35 evaluation, PLABench) Configuration · configuration of this model · 3 evaluations · 19 results
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Evidence
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Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- Leakage-controlled benchmarking reveals generalization limits of deep learning for protein-ligand binding affinity prediction · Original source · bioRxiv 10.64898/2026.09.17.752433v1 (posted 2026-09-23); 30-page PDF
Technical metadata and extraction receipts
Stable ID: lit-interactions-20261011-leakctl-model-graph-rg
- areas
- molecular-interactions
- contexts
- research
- method types
- supervised_machine_learning
- reported name
- Graph_RG
- entity level
- family
- source locator
- Table 1
- missing metadata
- version: reason: inapplicable; note: Family record; the evaluated setup is on the configuration
- provenance note
- Model details as given in the PLABench paper, Table 1.
Related records
- configuration of: Graph_RG (CASP16 and ChEMBL35 evaluation, PLABench)