arXiv Open Access 2025

Computational design of intrinsically disordered proteins

Giulio Tesei Francesco Pesce Kresten Lindorff-Larsen
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Abstrak

Protein design has the potential to revolutionize biotechnology and medicine. While most efforts have focused on proteins with well-defined structures, increased recognition of the functional significance of intrinsically disordered regions, together with improvements in their modeling, has paved the way to their computational de novo design. This review summarizes recent advances in engineering intrinsically disordered regions with tailored conformational ensembles, molecular recognition, and phase behavior. We discuss challenges in combining models with predictive accuracy with scalable design workflows and outline emerging strategies that integrate knowledge-based, physics-based, and machine-learning approaches.

Topik & Kata Kunci

Penulis (3)

G

Giulio Tesei

F

Francesco Pesce

K

Kresten Lindorff-Larsen

Format Sitasi

Tesei, G., Pesce, F., Lindorff-Larsen, K. (2025). Computational design of intrinsically disordered proteins. https://arxiv.org/abs/2509.12460

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
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Open Access ✓