Unbiased in silico design of pH-sensitive tetrapeptides
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Author(s) • • • •
Hu, Yue
Rigoldi, Federica
Sun, Hui
Gautieri, Alfonso
Marelli, Benedetto
Date Issued
2023
Journal
ChemComm
Publisher
Royal Society of Chemistry
Citation
Hu, Yue, Rigoldi, Federica, Sun, Hui, Gautieri, Alfonso and Marelli, Benedetto. 2023. "Unbiased in silico design of pH-sensitive tetrapeptides." ChemComm, 59 (67).
Version
Final published version
Abstract
We used coarse-grain molecular dynamics simulations to screen all possible histidine-bearing tetrapeptide sequences, finding novel peptide sequences with pH-tunable assembly properties. These tetrapeptides could be used for various biological applications, such as triggered delivery of bioactive molecules.
Subjects
Materials Chemistry
Metals and Alloys
Surfaces, Coatings and Films
General Chemistry
Ceramics and Composites
Electronic, Optical and Magnetic Materials
Catalysis
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1039/d3cc02412a