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AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

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Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: akscore-2020

areas: molecular-interactions
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC7697539/
version: version of record
retrieved at: 2026-09-15T23:29:32Z
doi: 10.3390/ijms21228424
publication status: peer_reviewed
year: 2020
artifact sha256: 40cfd28dcd587599768ec99a6590ec593486475ff01c7b1d1f229b44aa91bf8d
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC7697539/fullTextXML
artifact retrieved at: 2026-09-16T10:44:03.436853+00:00
legacy paper: id: akscore-2020; title: AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks; year: 2020; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC7697539/; primary domain: molecular-interactions; retrieved utc: 2026-09-15T23:29:32Z; notes: Primary full text verified using Europe PMC XML; venue: International Journal of Molecular Sciences; PMC ID: PMC7697539.; doi: 10.3390/ijms21228424
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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