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

IF 5.2 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2026-05-01 DOI:10.1002/pro.70572
Filippo Dall'Armellina, Sylvie Urbé, Daniel J Rigden
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引用次数: 0

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.

使用新一代置信度评分,alphafold驱动发现了与氧甾醇结合蛋白相关的蛋白-磷酸肌肽3-,4-和5-磷酸酶相互作用。
非囊泡性脂质转运有助于调节膜组成和膜接触部位的细胞器功能。osbp相关蛋白(orp)是这一过程的核心,但它们的相互作用网络仍不完全确定。在这里,我们使用AlphaPulldown2、AlphaFold2-Multimer和AlphaFold3系统地筛选orp与磷酸肌醇3、4和5磷酸酶之间潜在的相互作用。我们通过将alphafold2 - multitimer预测(包括5个重复)与大约200对蛋白质的AlphaPulldown2相互作用屏幕以及包括脂质结合和多聚体组装的AlphaFold3预测相结合,建立了模型生成协议。使用加权ipTM + pTM度量、actifpTM、新一代ipSAE评分和foldseek - multitimer聚类来评估接口置信度的一致性。我们进一步基于亚细胞定位数据、硅膜插入、ConSurf的进化保守性以及使用深度学习工具PeSTo的蛋白质结合界面分析来评估蛋白质对的生物学合理性。该整合方案揭示了SAC1脂质磷酸酶与ORP家族(特别是ORP11)的功能保守结合模式,并预测了功能相关的蛋白-脂质界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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