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Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8

TLR7 and TLR8 are key members of the Toll-like receptor family, playing crucial roles in the signaling pathways of innate immunity, and thus become attractive therapeutic targets of many diseases including infections and cancer. Although TLR7 and TLR8 show a high degree of sequence homology, their b...

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Autores principales: Wang, Xiaoyu, Chen, Yu, Zhang, Steven, Deng, Jinxia Nancy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032342/
https://www.ncbi.nlm.nih.gov/pubmed/35452465
http://dx.doi.org/10.1371/journal.pone.0260565
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author Wang, Xiaoyu
Chen, Yu
Zhang, Steven
Deng, Jinxia Nancy
author_facet Wang, Xiaoyu
Chen, Yu
Zhang, Steven
Deng, Jinxia Nancy
author_sort Wang, Xiaoyu
collection PubMed
description TLR7 and TLR8 are key members of the Toll-like receptor family, playing crucial roles in the signaling pathways of innate immunity, and thus become attractive therapeutic targets of many diseases including infections and cancer. Although TLR7 and TLR8 show a high degree of sequence homology, their biological response to small molecule binding is very different. Aiming to understand the mechanism of selective profiles of small molecule modulators against TLR7 and TLR8, we carried out molecular dynamic simulations on three imidazoquinoline derivatives bound to the receptors separately. They are Resiquimod (R), Hybrid-2 (H), and Gardiquimod (G), selective agonists of TLR7 and TLR8. Our MD trajectories indicated that in the complex of TLR7-R and TLR7-G, the two chains forming the TLR7 dimer tended to remain “open” conformation, while the rest systems maintained in the closed format. The agonists R, H, and G developed conformational deviation mainly on the aliphatic tail. Furthermore, we attempted to quantify the selectivity between TLR7 and TLR8 by binding free energies via MM-GBSA method. It showed that the three selected modulators were more favorable for TLR7 than TLR8, and the ranking from the strongest to the weakest was H, R and G, aligning well with experimental data. In the TLR7, the flexible and hydrophobic aliphatic side chain of H has stronger van der Waals interactions with V381 and F351 but only pick up interaction with one amino acid residue i.e. Y353 of TLR8. Unsurprisingly, the positively charged side chain of G has less favorable interaction with I585 of TLR7 and V573 of TLR8 explaining G is weak agonist of both TLR7 and TLR8. All three imidazoquinoline derivatives can form stable hydrogen bonds with D555 of TLR7 and the corresponding D543 of TLR8. In brief, the set of total 400ns MD studies sheds light on the potential selectivity mechanisms of agonists towards TLR7 and TLR8, indicating the van der Waals interaction as the driving force for the agonists binding, thus provides us insights for designing more potent and selective modulators to cooperate with the hydrophobic nature of the binding pocket.
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spelling pubmed-90323422022-04-23 Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8 Wang, Xiaoyu Chen, Yu Zhang, Steven Deng, Jinxia Nancy PLoS One Research Article TLR7 and TLR8 are key members of the Toll-like receptor family, playing crucial roles in the signaling pathways of innate immunity, and thus become attractive therapeutic targets of many diseases including infections and cancer. Although TLR7 and TLR8 show a high degree of sequence homology, their biological response to small molecule binding is very different. Aiming to understand the mechanism of selective profiles of small molecule modulators against TLR7 and TLR8, we carried out molecular dynamic simulations on three imidazoquinoline derivatives bound to the receptors separately. They are Resiquimod (R), Hybrid-2 (H), and Gardiquimod (G), selective agonists of TLR7 and TLR8. Our MD trajectories indicated that in the complex of TLR7-R and TLR7-G, the two chains forming the TLR7 dimer tended to remain “open” conformation, while the rest systems maintained in the closed format. The agonists R, H, and G developed conformational deviation mainly on the aliphatic tail. Furthermore, we attempted to quantify the selectivity between TLR7 and TLR8 by binding free energies via MM-GBSA method. It showed that the three selected modulators were more favorable for TLR7 than TLR8, and the ranking from the strongest to the weakest was H, R and G, aligning well with experimental data. In the TLR7, the flexible and hydrophobic aliphatic side chain of H has stronger van der Waals interactions with V381 and F351 but only pick up interaction with one amino acid residue i.e. Y353 of TLR8. Unsurprisingly, the positively charged side chain of G has less favorable interaction with I585 of TLR7 and V573 of TLR8 explaining G is weak agonist of both TLR7 and TLR8. All three imidazoquinoline derivatives can form stable hydrogen bonds with D555 of TLR7 and the corresponding D543 of TLR8. In brief, the set of total 400ns MD studies sheds light on the potential selectivity mechanisms of agonists towards TLR7 and TLR8, indicating the van der Waals interaction as the driving force for the agonists binding, thus provides us insights for designing more potent and selective modulators to cooperate with the hydrophobic nature of the binding pocket. Public Library of Science 2022-04-22 /pmc/articles/PMC9032342/ /pubmed/35452465 http://dx.doi.org/10.1371/journal.pone.0260565 Text en © 2022 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Xiaoyu
Chen, Yu
Zhang, Steven
Deng, Jinxia Nancy
Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title_full Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title_fullStr Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title_full_unstemmed Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title_short Molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to TLR7 and TLR8
title_sort molecular dynamics simulations reveal the selectivity mechanism of structurally similar agonists to tlr7 and tlr8
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032342/
https://www.ncbi.nlm.nih.gov/pubmed/35452465
http://dx.doi.org/10.1371/journal.pone.0260565
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