A Network Embedding Approach for Annotating Protein Structures

Barbara Puccio; Luisa Di Paola; Ugo Lo Moio; Pierangelo Veltri; Pietro Hiram Guzzi

doi:10.20944/preprints202204.0027.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 4 April 2022 / Approved: 5 April 2022 / Online: 5 April 2022 (12:02:35 CEST)

Protein Contact Network (PCN) is an emerging paradigm for modelling protein structure. A common approach to interpreting such data is through network-based analyses. It has been shown that clustering analysis may discover allostery in PCN. Nevertheless Network Embedding has shown good performances in discovering hidden communities and structures in network. In this work, we compare some approaches for graph embedding with respect to some classical clustering approaches for annotating protein structures.

Protein Contact Network

MATHEMATICS & COMPUTER SCIENCE, Other

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A Network Embedding Approach for Annotating Protein Structures

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