Mechanistic Systems modelling of plant environmental adaptation and CAM photosynthesis engineering

Project Information

MECHSYS

Grant agreement ID: 101055141

DOI

10.3030/101055141

EC signature date 5 May 2022

Start date 1 November 2022

End date 31 October 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 711 101,00

EU contribution

€ 1 711 101,00

Coordinated by

HEINRICH-HEINE-UNIVERSITAET DUESSELDORF
Germany

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 (7)

SPOT: A machine learning model that predicts specific substrates for transport proteins

Author(s): Alexander Kroll, Nico Niebuhr, Gregory Butler, Martin J. Lercher
Published in: PLOS Biology, Issue 22, 2024, ISSN 1545-7885
Publisher: Public Library of Science (PLOS)
DOI: 10.5281/ZENODO.14825942

Current Opinion in Structural Biology

Author(s): Alexander Kroll; Yvan Rousset
Published in: Current Opinion in Structural Biology, 2025, ISSN 0959-440X
Publisher: Elsevier BV
DOI: 10.1016/J.SBI.2025.103070

A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships

Author(s): Alexander Kroll; Sahasra Ranjan; Martin J. Lercher
Published in: PLOS Computational Biology, Issue 20, 2024, ISSN 1553-7358
Publisher: Public Library of Science (PLOS)
DOI: 10.5281/ZENODO.14825174

A general model to predict small molecule substrates of enzymes based on machine and deep learning

Author(s): Alexander Kroll, Sahasra Ranjan, Martin K. M. Engqvist, Martin J. Lercher
Published in: Nature Communications, Issue 14, 2023, ISSN 2041-1723
Publisher: Nature Portfolio
DOI: 10.5281/ZENODO.14834354

DeepMolecules: a web server for predicting enzyme and transporter–small molecule interactions

Author(s): Alexander Kroll, Yvan Rousset, Thomas Spitzlei, Martin J Lercher
Published in: Nucleic Acids Research, 2025, ISSN 0305-1048
Publisher: Oxford University Press (OUP)
DOI: 10.1093/NAR/GKAF343

Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning

Author(s): Alexander Kroll, Yvan Rousset, Xiao-Pan Hu, Nina A. Liebrand, Martin J. Lercher
Published in: Nature Communications, Issue 14, 2023, ISSN 2041-1723
Publisher: Nature Portfolio
DOI: 10.5281/ZENODO.14834178

DLKcat cannot predict meaningful <i>k</i>cat values for mutants and unfamiliar enzymes

Author(s): Alexander Kroll, Martin J Lercher
Published in: Biology Methods and Protocols, Issue 9, 2024, ISSN 2396-8923
Publisher: Oxford University Press (OUP)
DOI: 10.5281/ZENODO.14833203