Automated Author Profile

Hall, Aaron

University of California, Berkeley

Current S-Index

0.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Random heteropolymers preserve protein function in foreign environments (Version: 1)

The successful incorporation of active proteins into synthetic polymers could lead to a new class of materials with functions found only in living systems. However, proteins rarely function under the conditions suitable for polymer processing. On the basis of an analysis of trends in protein sequences and characteristic chemical patterns on protein surfaces, we designed four-monomer random heteropolymers to mimic intrinsically disordered proteins for protein solubilization and stabilization in non-native environments. The heteropolymers, with optimized composition and statistical monomer distribution, enable cell-free synthesis of membrane proteins with proper protein folding for transport and enzyme-containing plastics for toxin bioremediation. Controlling the statistical monomer distribution in a heteropolymer, rather than the specific monomer sequence, affords a new strategy to interface with biological systems for protein-based biomaterials.

Authors

  • Panganiban, Brian ;
  • Qiao, Baofu ;
  • Jiang, Tao ;
  • DelRe, Christopher ;
  • Obadia, Mona M. ;
  • Nguyen, Trung Dac ;
  • Smith, Anton A. A. ;
  • Hall, Aaron ;
  • Sit, Izaac ;
  • Crosby, Marquise G. ;
  • Dennis, Patrick B. ;
  • Drockenmuller, Eric ;
  • Olvera de la Cruz, Monica ;
  • Xu, Ting
1 Citation0 Mentions77% FAIR0.8 Dataset Index
10.5061/dryad.j1pt1262019