Robust deep learning–based protein sequence design using ProteinMPNN J Dauparas, I Anishchenko, N Bennett, H Bai, RJ Ragotte, LF Milles, ... Science 378 (6615), 49-56, 2022 | 693 | 2022 |
Virus-like particles of mRNA with artificial minimal coat proteins: particle formation, stability, and transfection efficiency S Jekhmane, R De Haas, O Paulino da Silva Filho, AH van Asbeck, ... Nucleic acid therapeutics 27 (3), 159-167, 2017 | 33 | 2017 |
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN RJ de Haas, N Brunette, A Goodson, J Dauparas, SY Yi, EC Yang, ... Proceedings of the National Academy of Sciences 121 (13), e2314646121, 2024 | 9 | 2024 |
Design of polypeptides self-assembling into antifouling coatings: exploiting multivalency N Alvisi, C Zheng, M Lokker, V Boekestein, R de Haas, B Albada, ... Biomacromolecules 23 (9), 3507-3516, 2022 | 6 | 2022 |
pH-responsive elastin-like polypeptide designer condensates RJ de Haas, KA Ganar, S Deshpande, R de Vries ACS applied materials & interfaces 15 (38), 45336-45344, 2023 | 4 | 2023 |
De novo designed ice-binding proteins from twist-constrained helices RJ de Haas, RP Tas, D van den Broek, C Zheng, H Nguyen, A Kang, ... Proceedings of the National Academy of Sciences 120 (27), e2220380120, 2023 | 1 | 2023 |
Modular Design for Proteins Assembling into Antifouling Coatings: Case of Gold Surfaces C Zheng, N Alvisi, RJ de Haas, Z Zhang, H Zuilhof, R de Vries Langmuir 39 (27), 9290-9299, 2023 | 1 | 2023 |
Flat Solenoidal Ice‐Binding Proteins as Scaffolds for Solid‐Binders RJ de Haas, J van Ossenbruggen, J van der Hoeven, RJ Timmermans, ... Advanced Materials Interfaces 10 (14), 2300001, 2023 | | 2023 |