ProteusAI: An open-source and user-friendly platform for machine learning-guided protein design and engineering

Authors

• Carlos Acevedo-Rocha, DTU Biosustain, DenmarkFollow
• Jonathan Funk, DTU Biosustain & Department of Biotechnology and Biomedicine, Technical University of Denmark
• Laura Machado, Department of Biotechnology and Biomedicine, Technical University of Denmark
• Samuel A. Bradley, DTU Biosustain, Technical University of Denmark
• Marta Napiorkowska, DTU Biosustain, Technical University of Denmark
• Patrick V. Phaneuf, DTU Biosustain, Technical University of Denmark
• Henry Webel, DTU Biosustain, Technical University of Denmark
• Niklas G. Madsen, DTU Biosustain, Technical University of Denmark
• Liubov Pashkova, DTU Biosustain, Technical University of Denmark
• Rodrigo Gallegos-Dextre, DTU Biosustain, Technical University of Denmark
• Timothy P. Jenkins, Department of Biotechnology and Biomedicine, Technical University of Denmark

Conference Dates

October 19-24, 2025

Abstract

Please click Additional Files below to see the full abstract

Recommended Citation

Carlos Acevedo-Rocha, Jonathan Funk, Laura Machado, Samuel A. Bradley, Marta Napiorkowska, Patrick V. Phaneuf, Henry Webel, Niklas G. Madsen, Liubov Pashkova, Rodrigo Gallegos-Dextre, and Timothy P. Jenkins, "ProteusAI: An open-source and user-friendly platform for machine learning-guided protein design and engineering" in "Enzyme Engineering XXVIII", John Woodley, DTU; Ditte Hededam-Welner, DTU Eds, ECI Symposium Series, (2025). https://dc.engconfintl.org/enzyme_xxviii/6