[SocBiN] PhD position in deep learning on protein-protein interactions

[Arne Elofsson]

Dear all

I am happy to announce 1-2 PhD positions in deep learning on
protein-protein interactions, in Stockholm in a great scientific
environment. Please forward to suitable candidates

*Project description*

Protein structure is essential for understanding their function as well as
for developing drugs targeting proteins. Recently, a deep learning method
that can predict the structure of most proteins was made freely available,
and a database with predicted structure was released. However, proteins do
not act alone - they act together with other proteins. Therefore, the next
major challenge is to use these types of methods for predicting
protein-protein interactions. Initial studies from us have shown that it is
possible to predict accurate structures of a large part of dimeric proteins
using either a modified version of AlphaFold2 or AlphaFold-multimer.
However, there are still many proteins that cannot be built accurately, nor
are we able always to distinguish interacting from non-interacting protein
pairs and to build larger complexes accurately is still an unsolved
problem. In this project, we are recruiting 1-2 PhD students which will
work together with two recently recruited postdocs to leverage recent
advances in the field of machine learning to build better deep-learning
models for predicting protein-protein interactions and to apply these
methods to biologically relevant problems.


More information on how to apply etc

https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=18555&rmlang=UK



Feel free to contact me

Yours

Arne

-----------------------------------------
  Arne Elofsson                  Science for Life Laboratory
  Tel:+46-(0)70 695 1045   Stockholm University
  http://bioinfo.se/               Box 1031,
  Email: arne at bioinfo.se   17121 Solna, Sweden
  Twitter:   https://twitter.com/arneelof
  Zoom: https://stockholmuniversity.zoom.us/my/arneelof/
  Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ
  ORCID: 0000-0002-7115-9751 <https://orcid.org/0000-0002-7115-9751>
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