Accelerated Engineering of ELP-Based Materials through Hybrid Biomimetic-De Novo Predictive Molecular Design
Laakko, Timo; Korkealaakso, Antti; Yildirir, Burcu Firatligil; Batys, Piotr; Liljeström, Ville; Hokkanen, Ari; Nonappa; Penttilä, Merja; Laukkanen, Anssi; Miserez, Ali; Södergård, Caj; Mohammadi, Pezhman (2024-07-11)
Laakko, Timo
Korkealaakso, Antti
Yildirir, Burcu Firatligil
Batys, Piotr
Liljeström, Ville
Hokkanen, Ari
Nonappa
Penttilä, Merja
Laukkanen, Anssi
Miserez, Ali
Södergård, Caj
Mohammadi, Pezhman
11.07.2024
2312299
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202407017458
https://urn.fi/URN:NBN:fi:tuni-202407017458
Kuvaus
Peer reviewed
Tiivistelmä
Efforts to engineer high-performance protein-based materials inspired by nature have mostly focused on altering naturally occurring sequences to confer the desired functionalities, whereas de novo design lags significantly behind and calls for unconventional innovative approaches. Here, using partially disordered elastin-like polypeptides (ELPs) as initial building blocks this work shows that de novo engineering of protein materials can be accelerated through hybrid biomimetic design, which this work achieves by integrating computational modeling, deep neural network, and recombinant DNA technology. This generalizable approach involves incorporating a series of de novo-designed sequences with α-helical conformation and genetically encoding them into biologically inspired intrinsically disordered repeating motifs. The new ELP variants maintain structural conformation and showed tunable supramolecular self-assembly out of thermal equilibrium with phase behavior in vitro. This work illustrates the effective translation of the predicted molecular designs in structural and functional materials. The proposed methodology can be applied to a broad range of partially disordered biomacromolecules and potentially pave the way toward the discovery of novel structural proteins.
Kokoelmat
- TUNICRIS-julkaisut [19236]