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Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods
[Image: see text] Toll-like receptors (TLRs) are transmembrane proteins that recognize various molecular patterns and activate signaling that triggers the immune response. In this review, our goal is to summarize how, in recent years, various computational solutions have contributed to a better unde...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302489/ https://www.ncbi.nlm.nih.gov/pubmed/37285179 http://dx.doi.org/10.1021/acs.jcim.3c00419 |
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author | Bzówka, Maria Bagrowska, Weronika Góra, Artur |
author_facet | Bzówka, Maria Bagrowska, Weronika Góra, Artur |
author_sort | Bzówka, Maria |
collection | PubMed |
description | [Image: see text] Toll-like receptors (TLRs) are transmembrane proteins that recognize various molecular patterns and activate signaling that triggers the immune response. In this review, our goal is to summarize how, in recent years, various computational solutions have contributed to a better understanding of TLRs, regarding both their function and mechanism of action. We update the recent information about small-molecule modulators and expanded the topic toward next-generation vaccine design, as well as studies of the dynamic nature of TLRs. Also, we underline problems that remain unsolved. |
format | Online Article Text |
id | pubmed-10302489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103024892023-06-29 Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods Bzówka, Maria Bagrowska, Weronika Góra, Artur J Chem Inf Model [Image: see text] Toll-like receptors (TLRs) are transmembrane proteins that recognize various molecular patterns and activate signaling that triggers the immune response. In this review, our goal is to summarize how, in recent years, various computational solutions have contributed to a better understanding of TLRs, regarding both their function and mechanism of action. We update the recent information about small-molecule modulators and expanded the topic toward next-generation vaccine design, as well as studies of the dynamic nature of TLRs. Also, we underline problems that remain unsolved. American Chemical Society 2023-06-07 /pmc/articles/PMC10302489/ /pubmed/37285179 http://dx.doi.org/10.1021/acs.jcim.3c00419 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Bzówka, Maria Bagrowska, Weronika Góra, Artur Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods |
title | Recent Advances
in Studying Toll-like Receptors with
the Use of Computational Methods |
title_full | Recent Advances
in Studying Toll-like Receptors with
the Use of Computational Methods |
title_fullStr | Recent Advances
in Studying Toll-like Receptors with
the Use of Computational Methods |
title_full_unstemmed | Recent Advances
in Studying Toll-like Receptors with
the Use of Computational Methods |
title_short | Recent Advances
in Studying Toll-like Receptors with
the Use of Computational Methods |
title_sort | recent advances
in studying toll-like receptors with
the use of computational methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302489/ https://www.ncbi.nlm.nih.gov/pubmed/37285179 http://dx.doi.org/10.1021/acs.jcim.3c00419 |
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