Work

PLABench

Year: 2026

Type: software

Abstract: A leakage-controlled benchmark for protein-ligand binding affinity prediction. It runs nine models, sequence-based and structure-based, over the same targets under the same metrics, and varies the input structure so that pose quality can be told apart from model quality.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22817205

Authors: Wang, Lyuwei, Cheng, Jianlin

Institution: University of Missouri

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7213522106

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