Davis and KIBA drug-target affinity benchmark (DeepDTA split)
Drug-target affinity regression on Davis and KIBA with the predefined DeepDTA training and test folds (5:1).
Results are recorded on the linked protocols, tasks or configurations listed below. Their settings and evaluations are kept separate.
Overview
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Results on linked records
This benchmark has no results of its own in this release. 2 linked records have results. They are not assigned to the underlying benchmark: each record keeps its own settings and evaluations, and its scores are on its own page.
- Davis drug-target affinity, DeepDTA holdout fold Protocol · part of this benchmark · 16 evaluations · 32 results
- KIBA drug-target affinity, DeepDTA holdout fold Protocol · part of this benchmark · 16 evaluations · 32 results
Methods and evaluation design
Procedure, tasks and evaluated configurations
Baseline coverage
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0 of 4 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.
Baseline status by linked protocol
- Davis drug-target affinity, DeepDTA holdout fold · 0/2 roles measured
- KIBA drug-target affinity, DeepDTA holdout fold · 0/2 roles measured
Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)
Coverage is derived from release 2026-10-22-1b7cf027e4f6. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.
Run instructions
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Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Comprehensive Evaluation of Protein Language Model Embeddings for Drug-Target Affinity Prediction · Original source · bioRxiv 10.64898/2026.08.31.748056v1 (posted 2026-09-03); 24-page PDF
Technical metadata and extraction receipts
Stable ID: lit-interactions-20261011-plmdta-benchmark-davis-kiba-dta-deepdta-split
- areas
- molecular-interactions
- contexts
- research
- entity level
- suite
- version
- DeepDTA folds (Ozturk et al. 2018), as used in Marijan and Tanasijevic 2026
- task
- Drug-target binding affinity regression
- scope note
- Holdout test fold results from Tables 2 and 3; cold-start results are figures only.
- source locator
- Sections 3.1 and 3.4; Tables 2 and 3