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Modular engineering of thermoresponsive allosteric proteins

Thermogenetics enables spatiotemporal control of protein activity using temperature. Now, engineering of a compact, insertable thermoresponsive protein module diversifies the classes of proteins amenable to allosteric thermoregulation.

Ann-Sophie Kroell
Kira H. Hoffmann
Jan Mathony
ResearchOpen Access12 Feb 2026
Nature Chemical Biology

P: 1-8
Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites

ProDomino is a machine leaning-based method, trained on a semisynthetic domain insertion dataset, to guide the engineering of protein domain recombination.

Benedict Wolf
Pegi Shehu
Dominik Niopek
ResearchOpen Access04 Aug 2025
Nature Methods

Volume: 22, P: 1698-1706
Publisher Correction: Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins

Julius Upmeier zu Belzen
Thore Bürgel
Roland Eils
Amendments and Corrections21 May 2019
Nature Machine Intelligence

Volume: 1, P: 290
Computational design of anti-CRISPR proteins with improved inhibition potency

Domain insertion into the loop region of AcrIIC1 leads to a variant with enhanced inhibitory activity toward Neisseria meningitides Cas9, while structure-guided design turns AcrIIC1 into a potent inhibitor of Staphylococcus aureus Cas9.

Jan Mathony
Zander Harteveld
Dominik Niopek
Research13 Apr 2020
Nature Chemical Biology

Volume: 16, P: 725-730
Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins

Deep neural networks are a powerful tool for predicting protein function, but identifying the specific parts of a protein sequence that are relevant to its functions remains a challenge. An occlusion-based sensitivity technique helps interpret these deep neural networks, and can guide protein engineering by locating functionally relevant protein positions.

Julius Upmeier zu Belzen
Thore Bürgel
Roland Eils
Research13 May 2019
Nature Machine Intelligence

Volume: 1, P: 225-235

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Modular engineering of thermoresponsive allosteric proteins

Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites

Publisher Correction: Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins

Computational design of anti-CRISPR proteins with improved inhibition potency

Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins

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