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Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning.
F1000Res. 2023 Mar 29;12:347. doi: 10.12688/f1000research.130443.1. eCollection 2023.
F1000Res. 2023.
PMID: 37113259
Free PMC article.
Heterologous expression of naturally evolved putative de novo proteins with chaperones.
Eicholt LA, Aubel M, Berk K, Bornberg-Bauer E, Lange A.
Eicholt LA, et al.
Protein Sci. 2022 Aug;31(8):e4371. doi: 10.1002/pro.4371.
Protein Sci. 2022.
PMID: 35900020
Free PMC article.
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Random, de novo, and conserved proteins: How structure and disorder predictors perform differently.
Middendorf L, Eicholt LA.
Middendorf L, et al. Among authors: eicholt la.
Proteins. 2024 Jun;92(6):757-767. doi: 10.1002/prot.26652. Epub 2024 Jan 16.
Proteins. 2024.
PMID: 38226524
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