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Zaida Álvarez

Researcher at Northwestern University

Publications -  24
Citations -  1259

Zaida Álvarez is an academic researcher from Northwestern University. The author has contributed to research in topics: Neural stem cell & Peptide amphiphile. The author has an hindex of 14, co-authored 21 publications receiving 777 citations. Previous affiliations of Zaida Álvarez include University of Barcelona.

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Reversible self-assembly of superstructured networks

TL;DR: Experiments and simulations demonstrate that this response requires large-scale spatial redistribution of molecules directed by strong noncovalent interactions among them and suggest that the chemically reversible structures can only occur within a limited range of supramolecular cohesive energies.
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Supramolecular-covalent hybrid polymers for light-activated mechanical actuation.

TL;DR: This work suggests that hybrid bonding polymers, which integrate supramolecular assemblies and covalent networks, offer strategies for the bottom-up design of soft matter that mimics living organisms.
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Sulfated glycopeptide nanostructures for multipotent protein activation.

TL;DR: Supramolecular sulfated glycopeptide nanostructures, which display a trisulfated monosaccharide on their surfaces and bind five critical proteins with very different polysaccharide binding domains, are reported on, which may enable many therapies in the horizon involving proteins.
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Bioactive scaffolds with enhanced supramolecular motion promote recovery from spinal cord injury.

TL;DR: In this article, the authors describe peptide amphiphile supramolecular polymers that mimic proteins for regeneration of tissues, which is known to be effective in the regeneration of tissue.
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Covalent-supramolecular hybrid polymers as muscle-inspired anisotropic actuators

TL;DR: It is concluded polymer chain confinement and mechanical reinforcement by rigid supramolecular nanofibers are responsible for the anisotropic actuation and strategies to create soft active matter with molecularly encoded capacity to perform complex tasks are suggested.