Published August 24, 2018 | Version 2.0
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Model Weights - Leveraging Implicit Knowledge in Neural Networks for Functional Dissection and Engineering of Proteins

Authors/Creators

  • 1. Synthetic Biology Group, Institute for Pharmacy and Biotechnology (IPMB) and Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, 69120, Germany; Digital Health Center, Berlin Institute of Health (BIH) and Charité University Medicine, Berlin, 10117, Germany
  • 2. Synthetic Biology Group, Institute for Pharmacy and Biotechnology (IPMB) and Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, 69120, Germany
  • 3. Molecular Epidemiology Unit, Berlin Institute of Health (BIH) and Charité University Medicine, Berlin, 10117, Germany
  • 4. Digital Health Center, Berlin Institute of Health (BIH) and Charité University Medicine, Berlin, 10117, Germany; Health Data Science Unit, University Hospital Heidelberg, Heidelberg, 69120, Germany

Description

Leveraging Implicit Knowledge in Neural Networks for Functional Dissection and Engineering of Proteins

Weights for DeeProtein in four replicates with different random initializations. Please refer to the GitHub repository for further information: 

https://github.com/juzb/DeeProtein

 

 

Notes

Authorship Statement The following are members of the iGEM (international genetically engineered machines) Team Heidelberg 2017: Lukas Adam, Thore Bürgel, Roland Eils, Catharina Gandor, Daniel Heid, Mareike Daniela Hoffmann, Stefan Holderbach, Michael Jendrusch, Marita Klein, Irina Lehmann, Jan Mathony, Dominik Niopek, Pauline Pfuderer, Lukas Platz, Moritz Przybilla, Carolin Schmelas, Max Schwendemann, Julius Upmeier zu Belzen, Max Waldhauer (all from Germany). Acknowledgements This work was funded by the Klaus-Tschira foundation, the German Research Council (DFG) and the Federal Ministry of Education and Research (BMBF). We thank Jürgen Quittek and Matthias Niepert (both NEC, Heidelberg), Thomas Wollmann (IPMB, BioQuant and German Cancer Research Center (DKFZ), Heidelberg) for helpful discussions and Marc Hemberger (BioQuant, Heidelberg) for support with IT and GPU cluster use.

Files

Files (1.6 GB)

Name Size
md5:bbed509286bfd3b5210b3cff97300657
393.3 MB Download
md5:fb78e7eacfa7346df4cd4ca1c84e34ad
393.3 MB Download
md5:03d2513b00046b30668a80af167d7dce
393.3 MB Download
md5:8ac8b360de9bb1891de42efa5b5e6bb8
393.3 MB Download

Additional details

Related works

Compiles
10.5281/zenodo.1402816 (DOI)
Is compiled by
https://github.com/juzb/DeeProtein (URL)