End-to-end learning for protein docking
| Title: |
End-to-end learning for protein docking |
| DNr: |
Berzelius-2021-64 |
| Project Type: |
LiU Berzelius |
| Principal Investigator: |
Arne Elofsson <arne@bioinfo.se> |
| Affiliation: |
Stockholms universitet |
| Duration: |
2021-12-01 – 2022-06-01 |
| Classification: |
10203 |
| Homepage: |
https://bioinfo.se/ |
| Keywords: |
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Abstract
We are currently involved in a large scale project to predict the structure of all human protein-protein interactions. This unfortunately demands quite some (at least temporary) disk space (in addition to the already allocated GPU time we have received). Therefore we apply for in total 100 Tb diskspace
We already have submitted two manuscripts using this resource, both have been well received by the community (preprints retweeted 350 and 650 times). Now we are (in collaboration with EBI) working on
Two manuscript submitted thanks to Berzelius:
https://www.biorxiv.org/content/10.1101/2021.09.15.460468v1 Submitted to nature communication
https://www.biorxiv.org/content/10.1101/2021.09.26.461876v1 Submitted to Cell
