Predicting rates of in vivo degradation of recombinant spider silk proteins-Reference-Cited by-同舟云学术

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Predicting rates of in vivo degradation of recombinant spider silk proteins

Published:2017-05-23 Issue:1 Volume:12 Page:e97-e105
ISSN:1932-6254
Container-title:Journal of Tissue Engineering and Regenerative Medicine
language:en
Short-container-title:J Tissue Eng Regen Med

Author:

Dinjaski Nina¹²,Ebrahimi Davoud²,Qin Zhao²,Giordano Jodie E.M.¹,Ling Shengjie¹²,Buehler Markus J.²,Kaplan David L.¹

Affiliation:

1. Department of Biomedical Engineering; Tufts University; Medford MA USA

2. Department of Civil and Environmental Engineering; Massachusetts Institute of Technology; Cambridge MA USA

Funder

National Institutes of Health

The National Science Foundation

Engineering Discovery Environment (XSEDE)

The Texas Advanced Computing Center

Publisher

Wiley

Subject

Biomedical Engineering,Biomaterials,Medicine (miscellaneous)

Reference59 articles.

1. Silk-based biomaterials;Altman;Biomaterials,2003

2. Reproducing natural spider silks' copolymer behavior in synthetic silk mimics;An;Biomacromolecules,2012

3. Physical and biological regulation of neuron regenerative growth and network formation on recombinant dragline silks;An;Biomaterials,2015

4. Biodegradation of Bombyx mori silk fibroin fibers and films;Arai;J Appl Polym Sci,2004

5. Molecular dynamics with coupling to an external bath;Berendsen;J Chem Phys,1984

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1. The Study of Molecules and Processes in Solution: An Overview of Questions, Approaches and Applications;Computation;2024-04-09

2. REDV-Functionalized Recombinant Spider Silk for Next-Generation Coronary Artery Stent Coatings: Hemocompatible, Drug-Eluting, and Endothelial Cell-Specific Materials;ACS Applied Materials & Interfaces;2024-03-12

3. Role of silk fibroin biomaterials as artificial ECM for 3D in vitro modeling;Multiscale Cell-Biomaterials Interplay in Musculoskeletal Tissue Engineering and Regenerative Medicine;2024

4. Generative design of de novo proteins based on secondary-structure constraints using an attention-based diffusion model;Chem;2023-07

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