MPLID: Membrane Protein-Lipid Interface Dataset
Abstract
A large-scale dataset of experimentally validated lipid contact residues derived from experimentally determined structures in the Protein Data Bank. 100% EXPERIMENTAL LABELS - NO COMPUTATIONAL DATABASE DEPENDENCIES Dataset Statistics (v2.0.0) Proteins: 4,704 Total residues: 8,055,325 Contact residues: 80,439 Contact rate: 1.00% Sequence clusters: 813 (30% identity) Lipid codes recognized: 117 Train/Validation/Test Splits Train: 2,578 proteins, 4,907,696 residues Val: 1,051 proteins, 1,403,838 residues Test: 1,075 proteins, 1,743,791 residues Key Features Labels derived 100% from experimentally resolved lipids in PDB structures 4.0 Angstrom all-atom heavy-atom distance cutoff 4,704 proteins across all membrane protein classes Cluster-aware splits prevent data leakage Fully reproducible from public PDB data GitHub: https://github.com/omagebright/MPLID
Fields of Study & Subjects
Machine Learning in Bioinformatics
Protein Structure and Dynamics
Lipid Membrane Structure and Behavior
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 February 2026
- Language
- EN
- Document type
- Dataset