Survivin Prevents the Polycomb Repressor Complex 2 from Methylating Histone 3 Lysine 27

Jensen, Mikael; Chandrasekaran, Venkataragavan; Garcia-Bonete, Maria-Jose; Li, Shuxiang; Anindya, Atsarina Larasati; Andersson, Karin; Erlandsson, Malin C.; Oparina, N. Yu.; Brath, Ulrika; Panchenko, Anna R.; I., Maria Bokarewa; Katona, Gergely

doi:10.2139/ssrn.4277941

Cited by 1 publication

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“…The peptide microarray experiment was described previously 13 and corresponding data is the basis of this analysis 90 . Briefly, peptide microarray was designed with a total of 36 proteins using PEPperCHIP Peptide Microarrays (PEPperPRINT Gmbh).…”

Section: Methodsmentioning

confidence: 99%

Deciphering Peptide-Protein Interactions via Composition-Based Prediction: A Case Study with Survivin/BIRC5

Anindya,

Olsson,

Jensen

et al. 2024

Preprint

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In the realm of atomic physics and chemistry, composition emerges as the most powerful means of describing matter. Mendeleev’s periodic table and chemical formulas, while not entirely free from ambiguities, provide robust approximations for comprehending the properties of atoms, chemicals, and their collective behaviours, which stem from the dynamic interplay of their constituents.Our study illustrates that protein-protein interactions follow a similar paradigm, wherein the composition of peptides plays a pivotal role in predicting their interactions with the protein survivin, using an elegantly simple model. An analysis of these predictions within the context of the human proteome not only illuminates the known cellular locations of survivin and its interaction partners, but also introduces novel insights into biological functionality. It becomes evident that an electrostatic- and primary structure-based description falls short in predictive power, leading us to speculate that protein interactions are orchestrated by the collective dynamics of the functional groups of the peptides involved.

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Section: Methodsmentioning

confidence: 99%