Cargando…
Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids
Polymer–protein hybrids are intriguing materials that can bolster protein stability in non-native environments, thereby enhancing their utility in diverse medicinal, commercial, and industrial applications. One stabilization strategy involves designing synthetic random copolymers with compositions a...
Autores principales: | Tamasi, Matthew J., Patel, Roshan A., Borca, Carlos H., Kosuri, Shashank, Mugnier, Heloise, Upadhya, Rahul, Murthy, N. Sanjeeva, Webb, Michael A., Gormley, Adam J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339531/ https://www.ncbi.nlm.nih.gov/pubmed/35593444 http://dx.doi.org/10.1002/adma.202201809 |
Ejemplares similares
-
Examining polymer‐protein biophysical interactions with small‐angle x‐ray scattering and quartz crystal microbalance with dissipation
por: Upadhya, Rahul, et al.
Publicado: (2022) -
Automation of Controlled/Living Radical Polymerization
por: Tamasi, Matthew, et al.
Publicado: (2020) -
A User’s Guide to Machine Learning for Polymeric
Biomaterials
por: Meyer, Travis A., et al.
Publicado: (2022) -
Biomedical polymers: synthesis and processing
por: Damodaran, Vinod B, et al.
Publicado: (2016) -
A hybrid and scalable brain-inspired robotic platform
por: Zou, Zhe, et al.
Publicado: (2020)