Charge-induced low-temperature gelation of mixed proteins and the effect of pH on the gelation: A spectroscopic, rheological and coarse-grained molecular dynamics study-Reference-Cited by-同舟云学术

Charge-induced low-temperature gelation of mixed proteins and the effect of pH on the gelation: A spectroscopic, rheological and coarse-grained molecular dynamics study

Published:2023-10 Issue: Volume:230 Page:113527
ISSN:0927-7765
Container-title:Colloids and Surfaces B: Biointerfaces
language:en
Short-container-title:Colloids and Surfaces B: Biointerfaces

Author:

Nnyigide Osita Sunday,Hyun Kyu^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Colloid and Surface Chemistry,Physical and Theoretical Chemistry,Surfaces and Interfaces,General Medicine,Biotechnology

Reference51 articles.

1. Predicting melting temperature directly from protein sequences;Ku;Comput. Biol. Chem.,2009

2. Aggregation features of partially unfolded bovine serum albumin modulated by hydrogenated and fluorinated surfactants: molecular dynamics insights and experimental approaches;Scanavachi;J. Colloid Interface Sci.,2020

3. The protection of bovine serum albumin against thermal denaturation and gelation by sodium dodecyl sulfate studied by rheology and molecular dynamics simulation;Nnyigide;Food Hydrocoll.,2020

4. Albumin hydrogels formed by electrostatically triggered self-assembly and their drug delivery capability;Baler;Biomacromolecules,2014

5. Natural protein-based hydrogels with high strength and rapid self-recovery;Liu;Int. J. Biol. Macromol.,2019

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