FAIRifying the TEMPL Pipeline: Applying FAIR Principles to a Template-Based Protein–Ligand Pose Prediction Baseline
Year: 2025
Type: article
Abstract: This presentation shows how the FAIR principles were applied to TEMPL, a template-based protein–ligand pose prediction baseline. It covers persistent identifiers (Zenodo DOIs for software, data, benchmarks), open licensing (MIT for code; CC BY 4.0 for slides/data), standard formats and tooling (PDB/SDF/SMILES, RDKit), reproducibility (pinned dependencies, containers, CI), and long-term archiving (Software Heritage).
Author: Fulop, Jozef
Institution: University of Chemistry and Technology, Prague
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7092636419
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