Closed-loop deep learning in early-stage drug discovery - cloud platform for targeted protein degradation

Project Information

CelerisTx - Celeris One Platform

Grant agreement ID: 190126641

DOI 10.3030/190126641

Project closed

EC signature date 14 December 2022

Start date 1 July 2022

End date 29 February 2024

Funded under

• The European Innovation Council (EIC)

Total cost € 4 860 501,25

EU contribution € 2 500 000,00

Coordinated by

CELERIS THERAPEUTICS GMBH
Austria

Publications

Peer reviewed articles (4)

Decoupled coordinates for machine learning-based molecular fragment linking

Author(s): Markus Fleck, Michael Müller, Noah Weber and Christopher Trummer
Published in: IOPScience, 2022, ISSN 2632-2153
Publisher: IOP Publishing Ltd
DOI: 10.1088/2632-2153/ac50fc

Current Challenges in Small Molecule Proximity-Inducing Compound Development for Targeted Protein Degradation Using the Ubiquitin Proteasomal System

Author(s): Sridhar Radhakrishnan, Oskar Hoff, Markus K. Muellner
Published in: molecules, 2022, ISSN 1420-3049
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/molecules27238119

Computer aided drug design in the development of proteolysis targeting chimeras

Author(s): Tin M. Tunjic, Noah Weber, Michael Brunsteiner
Published in: Computational and Structural Biotechnology Journal, 2023, ISSN 2001-0370
Publisher: Elsevier B.V.
DOI: 10.1016/j.csbj.2023.02.042

Bayesian optimization for ternary complex prediction (BOTCP)

Author(s): Arjun Rao, Tin M. Tunjic, Michael Brunsteiner, Michael Müller, Hosein Fooladi, Chiara Gasbarri, Noah Weber
Published in: Artificial Intelligence in the Life Sciences, 2023, ISSN 2667-3185
Publisher: Elsevier B.V.
DOI: 10.1016/j.ailsci.2023.100072