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Updated: Jun 22, 2026

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
A novel approach to predict protein-protein interactions related to Alzheimer's disease based on complex network
1State key laboratory of pharmaceutical biotechnology, Nanjing University, Nanjing 210093, China. luckyjyj@sina.com.cn
Abstract:
A protein domain interaction prediction program was complied using C(++) to predict whether a query protein could interact with other hub proteins. It is indicated that the proteins interacting with AATF (Apoptosis-Antagonizing Transcription Factor) possess a common conservative pattern: I-x(0,1)-E-x(2)-[A/E/N/T]-x-[E/K]. Our method is attempted to integrate the characteristics of protein interaction network with the simplest building blocks-conservative patterns.
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