Supplements for "Multimodal Classification of Protein–Protein Interactions Reveals Regulatory Hierarchies in Oncogenic Signaling"
Year: 2025
Type: article
Abstract: This supplementary file contains Table S1–S3 and Figure S1 related to the manuscript entitled “Multimodal Classification of Protein–Protein Interactions Reveals Regulatory Hierarchies in Oncogenic Signaling.” The study introduces a multimodal framework integrating AlphaFold3-predicted structural affinity, ClustalW-derived evolutionary distance, and catRAPID-predicted ncRNA interference to classify protein–protein interactions (PPIs) into physiological, pathological, and mutant categories. Table S1 summarizes structural and regulatory scores across 294 cancer-related PPIs.Table S2 presents detailed comparative data on Rb1–E2F1 vs Rb1–HPV16 E7 interactions.Table S3 provides affinity-distance correlation metrics.Figure S1 shows AlphaFold3-predicted 3D structures of the Rb1–E2F1 and Rb1–E7 complexes. These data support the central hypothesis that ncRNA-mediated regulatory buffering plays a critical role in stabilizing physiological PPIs while pathological ones escape control, contributing to oncogenic progression.
Author: Chinami, Masanobu
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6949574665
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