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Wang M, Fan B, Lu W, Ryde U, Chang Y, Han D, Lu J, Liu T, Gao Q, Chen C, Xu Y. Unraveling the Binding Mode of Cyclic Adenosine-Inosine Monophosphate (cAIMP) to STING through Molecular Dynamics Simulations. Molecules 2024; 29:2650. [PMID: 38893524 PMCID: PMC11173896 DOI: 10.3390/molecules29112650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
The stimulator of interferon genes (STING) plays a significant role in immune defense and protection against tumor proliferation. Many cyclic dinucleotide (CDN) analogues have been reported to regulate its activity, but the dynamic process involved when the ligands activate STING remains unclear. In this work, all-atom molecular dynamics simulations were performed to explore the binding mode between human STING (hSTING) and four cyclic adenosine-inosine monophosphate analogs (cAIMPs), as well as 2',3'-cGMP-AMP (2',3'-cGAMP). The results indicate that these cAIMPs adopt a U-shaped configuration within the binding pocket, forming extensive non-covalent interaction networks with hSTING. These interactions play a significant role in augmenting the binding, particularly in interactions with Tyr167, Arg238, Thr263, and Thr267. Additionally, the presence of hydrophobic interactions between the ligand and the receptor further contributes to the overall stability of the binding. In this work, the conformational changes in hSTING upon binding these cAIMPs were also studied and a significant tendency for hSTING to shift from open to closed state was observed after binding some of the cAIMP ligands.
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Affiliation(s)
- Meiting Wang
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
- Department of Computational Chemistry, Chemical Centre, Lund University, SE-221 00 Lund, Sweden;
| | - Baoyi Fan
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Wenfeng Lu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Ulf Ryde
- Department of Computational Chemistry, Chemical Centre, Lund University, SE-221 00 Lund, Sweden;
| | - Yuxiao Chang
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Di Han
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Jiarui Lu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Taigang Liu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Qinghe Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China;
| | - Changpo Chen
- Henan Key Laboratory of Organic Functional Molecule and Drug Innovation, Key Laboratory of Green Chemical Media and Reactions of Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang 453007, China
| | - Yongtao Xu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
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Payne RT, Crivelli S, Watanabe M. All-Atom Simulations Uncover Structural and Dynamical Properties of STING Proteins in the Membrane System. J Chem Inf Model 2022; 62:4486-4499. [PMID: 36103256 PMCID: PMC10246352 DOI: 10.1021/acs.jcim.2c00595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Recent studies have shown that the stimulator of interferon gene (STING) protein plays a central role in the immune system by facilitating the production of type I interferons in cells. The STING signaling pathway is also a prominent activator of cancer-killing T cells that initiate a powerful adaptive immune response. Since biomolecular signaling pathways are complicated and not easily identified through traditional experiments, molecular dynamics (MD) has often been used to study structural and dynamical responses of biological pathways. Here, we carried out MD simulations for full-length chicken and human STING (chSTING and hSTING) proteins. Specifically, we investigated ligand-bound closed (holo) and ligand-unbound open (apo) forms of STING in the membrane system by comparing their conformational and dynamical differences. Our research provides clues for understanding the mechanism of the STING signaling pathway by uncovering detailed insights for the examined systems: the residues from each chain in the binding pocket are strongly correlated to one another in the open STING structure compared with those in the closed STING structure. Ligand-bound closed STING displays ∼174° rotation of the ligand-binding domain (LBD) relative to the open STING structure. The dynamical analysis of residue Cys148 located in the linker region of hSTING does not support the earlier hypothesis that Cys148 can form disulfide bonds between adjacent STING dimers. We also demonstrate that using the full-length proteins is critical, since the MD simulations of the LBD portion alone cannot properly describe the global conformational properties of STING.
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Affiliation(s)
| | - Silvia Crivelli
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Masakatsu Watanabe
- Department of Chemistry, Fort Hays State University, Hays, KS 67601, United States
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Yanase Y, Tsuji G, Nakamura M, Shibata N, Demizu Y. Control of STING Agonistic/Antagonistic Activity Using Amine-Skeleton-Based c-di-GMP Analogues. Int J Mol Sci 2022; 23:ijms23126847. [PMID: 35743289 PMCID: PMC9224868 DOI: 10.3390/ijms23126847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 06/15/2022] [Accepted: 06/18/2022] [Indexed: 02/05/2023] Open
Abstract
Stimulator of Interferon Genes (STING) is a type of endoplasmic reticulum (ER)-membrane receptor. STING is activated by a ligand binding, which leads to an enhancement of the immune-system response. Therefore, a STING ligand can be used to regulate the immune system in therapeutic strategies. However, the natural (or native) STING ligand, cyclic-di-nucleotide (CDN), is unsuitable for pharmaceutical use because of its susceptibility to degradation by enzymes and its low cell-membrane permeability. In this study, we designed and synthesized CDN derivatives by replacing the sugar-phosphodiester moiety, which is responsible for various problems of natural CDNs, with an amine skeleton. As a result, we identified novel STING ligands that activate or inhibit STING. The cyclic ligand 7, with a cyclic amine structure containing two guanines, was found to have agonistic activity, whereas the linear ligand 12 showed antagonistic activity. In addition, these synthetic ligands were more chemically stable than the natural ligands.
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Affiliation(s)
- Yuta Yanase
- National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki 210-9501, Japan; (Y.Y.); (M.N.); (N.S.)
- Graduate School of Medical Life Science, Yokohama City University, Yokohama 230-0045, Japan
| | - Genichiro Tsuji
- National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki 210-9501, Japan; (Y.Y.); (M.N.); (N.S.)
- Correspondence: (G.T.); (Y.D.); Tel.: +81-44-270-6579 (G.T.); +81-44-270-6578 (Y.D.)
| | - Miki Nakamura
- National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki 210-9501, Japan; (Y.Y.); (M.N.); (N.S.)
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Division of Pharmaceutical Science of Okayama University, 1-1-1 Tsushimanaka, Kita 700-8530, Japan
| | - Norihito Shibata
- National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki 210-9501, Japan; (Y.Y.); (M.N.); (N.S.)
| | - Yosuke Demizu
- National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki 210-9501, Japan; (Y.Y.); (M.N.); (N.S.)
- Graduate School of Medical Life Science, Yokohama City University, Yokohama 230-0045, Japan
- Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Division of Pharmaceutical Science of Okayama University, 1-1-1 Tsushimanaka, Kita 700-8530, Japan
- Correspondence: (G.T.); (Y.D.); Tel.: +81-44-270-6579 (G.T.); +81-44-270-6578 (Y.D.)
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Computational discovery of binding mode of anti-TRBC1 antibody and predicted key amino acids of TRBC1. Sci Rep 2022; 12:1760. [PMID: 35110642 PMCID: PMC8810837 DOI: 10.1038/s41598-022-05742-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 01/11/2022] [Indexed: 12/02/2022] Open
Abstract
Peripheral T-cell lymphoma (PTCL) is a type of non-Hodgkin lymphoma that progresses aggressively with poor survival rate. CAR T cell targeting T-cell receptor β-chain constant domains 1 (TRBC1) of malignant T cells has been developed recently by using JOVI.1 monoclonal antibody as a template. However, the mode of JOVI.1 binding is still unknown. This study aimed to investigate the molecular interaction between JOVI.1 antibody and TRBC1 by using computational methods and molecular docking. Therefore, the TRBC protein crystal structures (TRBC1 and TRBC2) as well as the sequences of JOVI.1 CDR were chosen as the starting materials. TRBC1 and TRBC2 epitopes were predicted, and molecular dynamic (MD) simulation was used to visualize the protein dynamic behavior. The structure of JOVI.1 antibody was also generated before the binding mode was predicted using molecular docking with an antibody mode. Epitope prediction suggested that the N3K4 region of TRBC1 may be a key to distinguish TRBC1 from TCBC2. MD simulation showed the major different surface conformation in this area between two TRBCs. The JOVI.1-TRBC1 structures with three binding modes demonstrated JOVI.1 interacted TRBC1 at N3K4 residues, with the predicted dissociation constant (Kd) ranging from 1.5 × 108 to 1.1 × 1010 M. The analysis demonstrated JOVI.1 needed D1 residues of TRBC1 for the interaction formation to N3K4 in all binding modes. In conclusion, we proposed the three binding modes of the JOVI.1 antibody to TRBC1 with the new key residue (D1) necessary for N3K4 interaction. This data was useful for JOVI.1 redesign to improve the PTCL-targeting CAR T cell.
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