2020
DOI: 10.1021/acs.macromol.0c00514
|View full text |Cite
|
Sign up to set email alerts
|

Cytoskeleton-Inspired Artificial Protein Design to Enhance Polymer Network Elasticity

Abstract: Reducing topological network defects to enhance elasticity in polymeric materials remains a grand challenge. Efforts to control network topology, primarily focused on crosslinking junctions, continue to underperform compared to theoretical estimations from idealized networks using affine and phantom network theories. Here, artificial protein technology was adapted for the design of polymer-network hydrogels with precisely defined coil-like and rod-like strands to observe the impact of strand rigidity on the me… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
44
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
5
1
1

Relationship

2
5

Authors

Journals

citations
Cited by 9 publications
(44 citation statements)
references
References 72 publications
0
44
0
Order By: Relevance
“…This measurement is within the 500 Pa range from prior studies that developed hydrogels using other SpyTag-SpyCatcher design strategies. 15,47 However, this G′ is weak relative to other protein-network materials with similar molecular weight and is significantly lower than the predicted G′ based on the polymer-network models 20,38 (Table S2). The experimental G′ is approximately 1% of the theoretical G′ from the affine and phantom polymer network models.…”
Section: Resultsmentioning
confidence: 68%
See 2 more Smart Citations
“…This measurement is within the 500 Pa range from prior studies that developed hydrogels using other SpyTag-SpyCatcher design strategies. 15,47 However, this G′ is weak relative to other protein-network materials with similar molecular weight and is significantly lower than the predicted G′ based on the polymer-network models 20,38 (Table S2). The experimental G′ is approximately 1% of the theoretical G′ from the affine and phantom polymer network models.…”
Section: Resultsmentioning
confidence: 68%
“…Artificial Protein with Tetra-SAv Cross-linkers. To analyze the properties of proteinnetwork materials composed of tetra-SAv cross-linkers, we designed an artificial protein containing a SAv monomer on each end connected by an intrinsically disordered, flexible, polyelectrolyte-like protein containing 24 repeats of AGAGAGPEG amino acid sequence, denoted as C24, 27,38 which resulted in SAv-C24-SAv proteins (Table S1). We expected that SAv monomers in SAv-C24-SAv proteins would self-recognize and self-associate to form SAv homotetramers in aqueous buffer and develop hydrogels, similar to other well-known, noncovalently associating protein hydrogels.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another class of responsive protein hydrogels involves self-assembly in response to a complementary protein or particle to create composites. This physical recognition enables modulation of mechanical and structural properties during the assembly process as well as specific self-healing after stress application [ 134 , 135 , 136 , 137 ]. For example, modular proteins containing an elastomeric domain and a leucine zipper domain are able to self-associate into hydrogels and thermo-reversibly transit back to solution form at temperatures over 60 °C [ 138 ].…”
Section: Smart Protein Hydrogelsmentioning
confidence: 99%
“…To investigate the impact of chain stiffness in polymer network elasticity, consensus ankyrin repeat domains were genetically fused between associative domains to produce tri-block protein polymers. 228 The resulting proteins formed hydrogels with nearly three times higher elastic moduli when compared to hydrogels comprising tri-block proteins with random coil midblock domains. An exploration of rod-like, coil-like, and rod-coil architectures demonstrated the promise of ankyrin repeat domains to modulate the mechanical properties of an emerging class of protein hydrogels.…”
Section: Ankyrin Proteins: Stabilizing Anchors With Specific Binding Functionsmentioning
confidence: 99%