0571666 - MBÚ 2024 RIV GB eng J - Journal Article
Heames, B. - Buchel, F. - Aubel, M. - Tretyachenko, V. - Loginov, Dmitry Sergej - Novák, Petr - Lange, A. - Bornberg-Bauer, E. - Hlouchová, Klára
Experimental characterization of de novo proteins and their unevolved random-sequence counterparts.
Nature Ecology & Evolution. Roč. 7, č. 4 (2023), s. 570-580. ISSN 2397-334X. E-ISSN 2397-334X
R&D Projects: GA MŠMT(CZ) ED1.1.00/02.0109
EU Projects: European Commission(XE) 823839 - EPIC-XS
Research Infrastructure: CIISB II - 90127
Institutional support: RVO:61388971 ; RVO:61388963
Keywords : genetic selection * aggregation * prediction * evolution * signal
OECD category: Biochemistry and molecular biology; Biochemistry and molecular biology (UOCHB-X)
Impact factor: 14.1, year: 2023 ; AIS: 7.062, rok: 2023
Method of publishing: Open access
Result website:
https://www.nature.com/articles/s41559-023-02010-2DOI: https://doi.org/10.1038/s41559-023-02010-2

While a bioinformatic comparison of de novo genes and synthetic random sequence does not identify a difference in biophysical properties, in vitro expression shows higher solubility for the de novo proteins, suggesting better integration into the cellular system than random sequences.
Permanent Link: https://hdl.handle.net/11104/0343064