bioRxivSystems BiologyPreprint
Binary Interactome Models of Inner- Versus Outer-Complexome Organization
Luke LambourneiD, Anupama YadaviD, Yang WangiD, Alice DesbuleuxiD, Dae‐Kyum KimiD, Tiziana M. Cafarelli, Carles PonsiD, István A. KovácsiD, Noor JailkhaniiD, Sadie Schlabach, David De RidderiD, Katja LuckiD, Wenting Bian, Yun Shen, Zhipeng YangiD, Miles W. MeeiD, Mohamed HelmyiD, Yves JacobiD, Irma H. LemmensiD, Thomas RollandiD, Atina G. CotéiD, Marinella GebbiaiD, Nishka KishoreiD, Jennifer J. KnappiD, Joseph C. MelloriD, , Marc VidaliD
- Citations
- 8
Abstract
Hundreds of different protein complexes that perform important functions across all cellular processes, collectively comprising the "complexome" of an organism, have been identified1. However, less is known about the fraction of the interactome that exists outside the complexome, in the "outer-complexome". To investigate features of "inner"- versus outer-complexome organisation in yeast, we generated a high-quality atlas of binary protein-protein interactions (PPIs), combining three previous maps2-4 and a new reference all-by-all binary interactome map. A greater proportion of interactions in our map are in the outer-complexome, in comparison to those found by affinity purification followed by mass spectrometry5-7 or in literature curated datasets8-11. In addition, recent advances in deep learning predictions of PPI structures12 mirror the existing experimentally resolved structures in being largely focused on the inner complexome and missing most interactions in the outer-complexome. Our new PPI network suggests that the outer-complexome contains considerably more PPIs than the inner-complexome, and integration with functional similarity networks13-15 reveals that interactions in the inner-complexome are highly detectable and correspond to pairs of proteins with high functional similarity, while proteins connected by more transient, harder-to-detect interactions in the outer-complexome, exhibit higher functional heterogeneity.
- organism: yeast
- assay: protein structure
- research focus: benchmarking
- approach: statistical model
- approach: matrix factorization
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