English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Prediction of protein–protein interactions using sequences ofintrinsically disordered regions

MPS-Authors
/persons/resource/persons228523

Kibar,  Gözde       
Transcriptional Regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50613

Vingron,  Martin       
Transcriptional Regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Proteins_Kibar_2023.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Kibar, G., & Vingron, M. (2023). Prediction of protein–protein interactions using sequences ofintrinsically disordered regions. Proteins: Structure, Function, and Bioinformatics, prot.26486. doi:10.1002/prot.26486.


Cite as: https://hdl.handle.net/21.11116/0000-000D-1C1B-7
Abstract
Protein–protein interactions (PPIs) play a crucial role in numerous molecular pro-cesses. Despite many efforts, mechanisms governing molecular recognition betweeninteracting proteins remain poorly understood and it is particularly challenging to pre-dict from sequence whether two proteins can interact. Here we present a newmethod to tackle this challenge using intrinsically disordered regions (IDRs). IDRs areprotein segments that are functional despite lacking a single invariant three-dimensional structure. The prevalence of IDRs in eukaryotic proteins suggests thatIDRs are critical for interactions. To test this hypothesis, we predicted PPIs using IDRsequences in candidate proteins in humans. Moreover, we divide the PPI predictionproblem into two specific subproblems and adapt appropriate training and test strat-egies based on problem type. Our findings underline the importance of definingclearly the problem type and show that sequences encoding IDRs can aid in predict-ing specific features of the protein interaction network of intrinsically disordered pro-teins. Our findings further suggest that accounting for IDRs in future analyses shouldaccelerate efforts to elucidate the eukaryotic PPI network.