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Hierarchical Materials from High Information Content Macromolecular Building Blocks: Construction, Dynamic Interventions, and Prediction.
Shao, Li; Ma, Jinrong; Prelesnik, Jesse L; Zhou, Yicheng; Nguyen, Mary; Zhao, Mingfei; Jenekhe, Samson A; Kalinin, Sergei V; Ferguson, Andrew L; Pfaendtner, Jim; Mundy, Christopher J; De Yoreo, James J; Baneyx, François; Chen, Chun-Long.
Affiliation
  • Shao L; Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Ma J; Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98195, United States.
  • Prelesnik JL; Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.
  • Zhou Y; Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Nguyen M; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.
  • Zhao M; Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.
  • Jenekhe SA; Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
  • Kalinin SV; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.
  • Ferguson AL; Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.
  • Pfaendtner J; Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996, United States.
  • Mundy CJ; Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.
  • De Yoreo JJ; Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
  • Baneyx F; Materials Science and Engineering, University of Washington, Seattle, Washington 98195, United States.
  • Chen CL; Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Chem Rev ; 122(24): 17397-17478, 2022 12 28.
Article in En | MEDLINE | ID: mdl-36260695
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Full text: 1 Database: MEDLINE Main subject: Peptides Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chem Rev Year: 2022 Type: Article Affiliation country: United States
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Full text: 1 Database: MEDLINE Main subject: Peptides Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chem Rev Year: 2022 Type: Article Affiliation country: United States