Structure of the work presented in this manuscript.

Structure of the work presented in this manuscript.

<p><b>Left:</b> computational prediction of PTM-related directed protein interactions (PTM-PPIs). A random forest model was constructed to predict PTM-PPIs based on hyperbolic topological features and network properties extracted from the hPIN. <b>Right:</b> quantitativ...

Full description

Saved in:
Bibliographic Details
Main Author: Aimilia-Christina Vagiona (17584758) (author)
Other Authors: Sofia Notopoulou (14256494) (author), Zbyněk Zdráhal (3324678) (author), Mariane Gonçalves-Kulik (20818278) (author), Spyros Petrakis (143222) (author), Miguel A. Andrade-Navarro (31443) (author)
Published: 2025
Subjects:
Biophysics
Biochemistry
Genetics
Molecular Biology
Cancer
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
would allow us
regulates many functions
mapping contains information
compact cluster composed
cellular model revealed
hyperbolic geometry underlying
specifically interactions related
random forest algorithm
div >< p
related directed ppis
related disease network
related ppis
disease pathology
network representation
interaction network
hyperbolic space
hyperbolic properties
protein interactions
translational modification
recent years
ptm ).
proteomics analysis
predicted ptm
indeed dysregulated
increasing accumulation
explore whether
evidence supporting
dysregulated ptm
complex systems
centrality measures
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items