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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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, Issue 3, 2023, ISSN 2667-3185
Publisher: Elsevier B.V.
DOI: 10.1016/j.ailsci.2023.100072