AlphaFold‐driven discovery of oxysterol‐binding protein <scp>‐</scp> related protein‐phosphoinositide 3‐, 4‐, and 5‐phosphatase interactions using new generation confidence scores

Non-vesicular lipid transport contributes to the regulation of membrane composition and organelle function at membrane contact sites. OSBP-related proteins (ORPs) are central to this process, yet their interaction networks remain incompletely defined. Here, we systematically screened potential interactions between ORPs and phosphoinositide 3-, 4-, and 5-phosphatases using AlphaPulldown2, AlphaFold2-Multimer, and AlphaFold3. We established a protocol for model generation by combining AlphaFold2-Multimer predictions (including five-replicates) with an AlphaPulldown2 interaction screen across around 200 protein pairs, and with AlphaFold3 predictions including lipid-bound and multimeric assemblies. Interface confidence was assessed for consistency using the weighted ipTM + pTM metric, actifpTM, new generation ipSAE scoring, and FoldSeek-Multimer clustering. We further evaluated the protein pairs' biological plausibility based on subcellular localization data, in silico membrane insertion, evolutionary conservation via ConSurf, and protein binding interface analysis using the deep learning tool PeSTo. This integrative protocol uncovered functionally conserved binding modes in the SAC1 lipid phosphatase with the ORP family, particularly with ORP11, and predicted functionally relevant protein-lipid interfaces.

Authors

Institutions

Publication Details

Journal
Protein Science
Published
2026-04-15
DOI
https://doi.org/10.1002/pro.70572
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AlphaFold‐driven discovery of oxysterol‐binding protein ‐ related protein‐phosphoinositide 3‐, 4‐, and 5‐phosphatase interactions using new generation confidence scores

Daniel J. Rigden, Sylvie Urbé, Filippo Dall’Armellina
Protein Science
Machine Learning in Bioinformatics
article

AlphaFold‐driven discovery of oxysterol‐binding protein ‐ related protein‐phosphoinositide 3‐, 4‐, and 5‐phosphatase interactions using new generation confidence scores

Daniel J. Rigden, Sylvie Urbé, Filippo Dall’Armellina
article en

Abstract

Non-vesicular lipid transport contributes to the regulation of membrane composition and organelle function at membrane contact sites. OSBP-related proteins (ORPs) are central to this process, yet their interaction networks remain incompletely defined. Here, we systematically screened potential interactions between ORPs and phosphoinositide 3-, 4-, and 5-phosphatases using AlphaPulldown2, AlphaFold2-Multimer, and AlphaFold3. We established a protocol for model generation by combining AlphaFold2-Multimer predictions (including five-replicates) with an AlphaPulldown2 interaction screen across around 200 protein pairs, and with AlphaFold3 predictions including lipid-bound and multimeric assemblies. Interface confidence was assessed for consistency using the weighted ipTM + pTM metric, actifpTM, new generation ipSAE scoring, and FoldSeek-Multimer clustering. We further evaluated the protein pairs' biological plausibility based on subcellular localization data, in silico membrane insertion, evolutionary conservation via ConSurf, and protein binding interface analysis using the deep learning tool PeSTo. This integrative protocol uncovered functionally conserved binding modes in the SAC1 lipid phosphatase with the ORP family, particularly with ORP11, and predicted functionally relevant protein-lipid interfaces.

Protein ScienceVol. 35(5)
University of Liverpool (GB)
Life in Land
Openalex Percentile: Top 26%
Machine Learning in Bioinformatics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AlphaFold‐driven discovery of oxysterol‐binding protein <scp>‐</scp> related protein‐phosphoinositide 3‐, 4‐, and 5‐phosphatase interactions using new generation confidence scores — Daniel J. Rigden, Sylvie Urbé, et al. · Protein Science (2026) | TGRS Research Map | TGRS