Sensitivity analysis on protein-protein interaction networks through deep graph networks

To the best of our knowledge, the model proposed in this study is the first that allows performing sensitivity analysis directly on PPINs. Our findings suggest that, despite the high level of abstraction, the structure of the PPIN holds enough information to infer dynamic properties without needing an exact model of the underlying processes. In addition, the designed pipeline is flexible and can be easily integrated into drug design, repurposing, and personalized medicine processes.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-05-08
DOI
https://doi.org/10.1186/s12859-025-06140-1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Sensitivity analysis on protein-protein interaction networks through deep graph networks

Alessio Micheli, Marco Podda, Paolo Milazzo, Michele Fontanesi et al.
BMC Bioinformatics
Bioinformatics and Genomic Networks
article

Sensitivity analysis on protein-protein interaction networks through deep graph networks

Alessio Micheli, Marco Podda, Paolo Milazzo, Michele Fontanesi, Alessandro Dipalma
article en

Abstract

To the best of our knowledge, the model proposed in this study is the first that allows performing sensitivity analysis directly on PPINs. Our findings suggest that, despite the high level of abstraction, the structure of the PPIN holds enough information to infer dynamic properties without needing an exact model of the underlying processes. In addition, the designed pipeline is flexible and can be easily integrated into drug design, repurposing, and personalized medicine processes.

BMC BioinformaticsVol. 26(1)
University of Pisa (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT)
Ministero della Salute, Università di Pisa
Openalex Percentile: Top 91%
Bioinformatics and Genomic Networks
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Sensitivity analysis on protein-protein interaction networks through deep graph networks — Alessio Micheli, Marco Podda, et al. · BMC Bioinformatics (2025) | TGRS Research Map | TGRS