Author

Alexander-Maurice Illig

RWTH Aachen UniversityORCID 0000-0002-8476-722XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1

Frequent Co-Authors

Ulrich SchwanebergiD· 2 shared Christoph JanknechtiD· 1 shared Fabian Flemig· 1 shared Francisca ContrerasiD· 1 shared Hendrik PuetziD· 1 shared Mariia VorobiiiD· 1 shared Mehdi D. DavariiD· 1 shared Niklas E. SiedhoffiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBioengineering

Ulrich SchwanebergORCID

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2 papers

Recent·Most cited

KnowVolution of an efficient polyamidase through molecular dynamics simulations of incrementally docked oligomeric substrates

Hendrik Puetz, Alexander-Maurice Illig, Mariia Vorobii, Christoph Janknecht, Francisca Contreras, Fabian Flemig, Ulrich Schwaneberg

This paper evolves a polyamidase through molecular dynamics simulations to improve its activity and stability for polyamide hydrolysis, but depolymerization remains limited.

ChemSusChem · Jun 12, 2025Peer-reviewedBioengineering

A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering

Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari

This paper introduces a hybrid model that combines evolutionary probability and machine learning to improve protein engineering with limited data.

bioRxiv · Jun 7, 2022 · PreprintSynthetic Biology