<div dir="ltr"><div>Please forward this add to any relevant students</div><div><br></div><div><h1 id="gmail-jobad-heading" class="gmail-heading gmail-h1">PhD student in Bioinformatics</h1></div><div><p><strong>Project description<br> </strong>Your studies in Bioinformatics will be in the project: <em>"Deep Learning for protein structure prediction”.</em></p>
<p>Protein structure is essential for understanding their function and
developing drugs targeting proteins. Recently, a deep learning method
that can predict the structure of most proteins was made freely
available and released a database with predicted protein structures.
However, proteins do not act alone - they work together with other
proteins. Therefore, the next major challenge is using these methods for
predicting protein-protein interactions. Our initial studies 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, many proteins cannot be built accurately,
nor can we always distinguish interacting from non-interacting protein
pairs and building larger complexes accurately is still an unsolved
problem. In this project, we are recruiting additional Ph.D. student to
leverage recent advances in machine learning to create better
deep-learning models to predict protein-protein interactions and to
apply these methods to biologically relevant problems.</p>
<p>The Elofsson group is located at the Science for Life Laboratory.
Elofsson has worked on protein structure predictions for more than two
decades. He has worked on various techniques using machine learning and
other computational techniques. Our most important contributions to this
work are the methods he has developed to identify the quality of
protein models, Pcons and various versions of ProQ. The group comprises 5
PhD students, two postdocs and one senior researcher.</p></div><div><br></div><div><a href="https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=22761&rmlang=UK">https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=22761&rmlang=UK</a></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"> <br>Yours<br><br>Arne<br><i><br></i>-----------------------------------------<br> Arne Elofsson Science for Life Laboratory<br> Tel:+46-(0)70 695 1045 Stockholm University<br> <a href="http://bioinfo.se/" target="_blank">http://bioinfo.se/</a> Box 1031, <br> Email: <a href="mailto:arne@bioinfo.se" target="_blank">arne@bioinfo.se</a> 17121 Solna, Sweden<br> Twitter: @arneelof<br></div><div dir="ltr"> Mastodon: @<a href="mailto:arneelof@fediscience.org" target="_blank">arneelof@fediscience.org</a><br></div><div dir="ltr"> Zoom: <span style="display:inline-flex"><a href="https://stockholmuniversity.zoom.us/my/arneelof/" target="_blank">https://stockholmuniversity.zoom.us/my/arneelof/</a><span></span></span><br> Scholar: <a href="http://scholar.google.se/citations?user=s3OCM3AAAAAJ" target="_blank">http://scholar.google.se/citations?user=s3OCM3AAAAAJ</a><br> ORCID: <a href="https://orcid.org/0000-0002-7115-9751" target="_blank">0000-0002-7115-9751</a></div></div></div></div></div></div>