Please use this identifier to cite or link to this item:
|Title:||Computational design of macrocyclic binders of S100B(ββ): novel peptide theranostics||Authors:||Kannan, Srinivasaraghavan
Aronica, Pietro G. A.
Nguyen, Thanh Binh
Verma, Chandra Shekhar
|Keywords:||Science::Biological sciences||Issue Date:||2021||Source:||Kannan, S., Aronica, P. G. A., Nguyen, T. B., Li, J. & Verma, C. S. (2021). Computational design of macrocyclic binders of S100B(ββ): novel peptide theranostics. Molecules, 26(3), 721-. https://dx.doi.org/10.3390/molecules26030721||Project:||H18/01/a0/015
|Journal:||Molecules||Abstract:||S100B(ββ) proteins are a family of multifunctional proteins that are present in several tissues and regulate a wide variety of cellular processes. Their altered expression levels have been associated with several human diseases, such as cancer, inflammatory disorders and neurodegenerative conditions, and hence are of interest as a therapeutic target and a biomarker. Small molecule inhibitors of S100B(ββ) have achieved limited success. Guided by the wealth of available experimental structures of S100B(ββ) in complex with diverse peptides from various protein interacting partners, we combine comparative structural analysis and molecular dynamics simulations to design a series of peptides and their analogues (stapled) as S100B(ββ) binders. The stapled peptides were subject to in silico mutagenesis experiments, resulting in optimized analogues that are predicted to bind to S100B(ββ) with high affinity, and were also modified with imaging agents to serve as diagnostic tools. These stapled peptides can serve as theranostics, which can be used to not only diagnose the levels of S100B(ββ) but also to disrupt the interactions of S100B(ββ) with partner proteins which drive disease progression, thus serving as novel therapeutics.||URI:||https://hdl.handle.net/10356/153892||ISSN:||1420-3049||DOI:||10.3390/molecules26030721||Rights:||© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SBS Journal Articles|
Updated on Jan 26, 2023
Web of ScienceTM
Updated on Jan 30, 2023
Updated on Feb 2, 2023
Updated on Feb 2, 2023
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.