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靶向ICOS/ICOS-L蛋白-蛋白相互作用的双环肽抑制剂的计算设计

Computational Design of a Bicyclic Peptide Inhibitor Targeting the ICOS/ICOS-L Protein-Protein Interaction.

作者信息

Calvo-Barreiro Laura, Secor Maxim, Damjanovic Jovan, Abdel-Rahman Somaya A, Lin Yu-Shan, Gabr Moustafa

机构信息

Department of Radiology, Molecular Imaging Innovations Institute (MI3), Weill Cornell Medicine, New York, New York, USA.

Department of Chemistry, Tufts University, Medford, Massachusetts, USA.

出版信息

Chem Biol Drug Des. 2025 May;105(5):e70117. doi: 10.1111/cbdd.70117.

DOI:10.1111/cbdd.70117
PMID:40317592
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12121478/
Abstract

The interaction between the inducible T-cell costimulatory molecule (ICOS) and its ligand (ICOS-L) is a critical pathway in T-cell activation and immune regulation. We computationally designed a bicyclic peptide (CP5) that inhibits the ICOS/ICOS-L protein-protein interaction (PPI). Using the structural insights derived from the ICOS/ICOS-L co-crystal structure (PDB: 6X4G) and bias-exchange metadynamics simulations (BE-META), we first designed monocyclic peptide candidates containing the β-strand (residues 51-55 YVYWQ) of ICOS-L that interact with ICOS. Using Rosetta's flex ddG calculations and further disulfide-bond restraint, we arrived at CP5 (cyclo-RVY[CQPGWC]WVLpG) as a potential ICOS/ICOS-L inhibitor. Using dynamic light scattering (DLS), we examined the interaction between CP5 and ICOS. Importantly, we validated the ICOS/ICOS-L inhibitory activity of CP5 using both TR-FRET assay and ELISA. Notably, CP5 demonstrated satisfactory in vitro pharmacokinetic properties, such as metabolic stability and lipophilicity, positioning it as a promising candidate for further drug development. Our findings provide a foundation for future drug discovery efforts aiming to develop cyclic peptides that specifically target the ICOS/ICOS-L interaction.

摘要

诱导性T细胞共刺激分子(ICOS)与其配体(ICOS-L)之间的相互作用是T细胞活化和免疫调节的关键途径。我们通过计算设计了一种双环肽(CP5),它可抑制ICOS/ICOS-L蛋白-蛋白相互作用(PPI)。利用从ICOS/ICOS-L共晶体结构(PDB:6X4G)和偏差交换元动力学模拟(BE-META)中获得的结构见解,我们首先设计了包含与ICOS相互作用的ICOS-L的β链(残基51-55 YVYWQ)的单环肽候选物。通过Rosetta的flex ddG计算和进一步的二硫键限制,我们得到了CP5(环-RVY[CQPGWC]WVLpG)作为一种潜在的ICOS/ICOS-L抑制剂。利用动态光散射(DLS),我们研究了CP5与ICOS之间的相互作用。重要的是,我们使用时间分辨荧光能量共振转移(TR-FRET)测定法和酶联免疫吸附测定(ELISA)验证了CP5对ICOS/ICOS-L的抑制活性。值得注意的是,CP5表现出令人满意的体外药代动力学性质,如代谢稳定性和亲脂性,使其成为进一步药物开发的有前景的候选物。我们的研究结果为未来旨在开发特异性靶向ICOS/ICOS-L相互作用的环肽的药物发现工作奠定了基础。

相似文献

1
Computational Design of a Bicyclic Peptide Inhibitor Targeting the ICOS/ICOS-L Protein-Protein Interaction.靶向ICOS/ICOS-L蛋白-蛋白相互作用的双环肽抑制剂的计算设计
Chem Biol Drug Des. 2025 May;105(5):e70117. doi: 10.1111/cbdd.70117.
2
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Structural characterization of the ICOS/ICOS-L immune complex reveals high molecular mimicry by therapeutic antibodies.ICOS/ICOS-L 免疫复合物的结构特征揭示了治疗性抗体的高度分子模拟性。
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本文引用的文献

1
Discovery of ICOS-Targeted Small Molecules Using Affinity Selection Mass Spectrometry Screening.使用亲和选择质谱筛选法发现 ICOS 靶向小分子。
ChemMedChem. 2024 Nov 18;19(22):e202400545. doi: 10.1002/cmdc.202400545. Epub 2024 Oct 22.
2
Assessing the Performance of Peptide Force Fields for Modeling the Solution Structural Ensembles of Cyclic Peptides.评估肽力场在模拟环状肽溶液结构集合中的性能。
J Phys Chem B. 2024 Jun 6;128(22):5281-5292. doi: 10.1021/acs.jpcb.4c00157. Epub 2024 May 24.
3
Design of cyclic peptides as novel inhibitors of ICOS/ICOSL interaction.设计环肽作为新型 ICOS/ICOSL 相互作用抑制剂。
Bioorg Med Chem Lett. 2024 Feb 1;99:129599. doi: 10.1016/j.bmcl.2024.129599. Epub 2024 Jan 5.
4
Computational Prediction of Cyclic Peptide Structural Ensembles and Application to the Design of Keap1 Binders.计算预测环状肽结构集合及其在 Keap1 结合物设计中的应用。
J Chem Inf Model. 2023 Nov 13;63(21):6925-6937. doi: 10.1021/acs.jcim.3c01337. Epub 2023 Nov 2.
5
Discovery of ICOS-Targeted Small Molecules Using Pharmacophore-Based Screening.基于药效团筛选发现靶向诱导共刺激分子(ICOS)的小分子
ChemMedChem. 2023 Dec 1;18(23):e202300305. doi: 10.1002/cmdc.202300305. Epub 2023 Oct 26.
6
First-in-class small molecule inhibitors of ICOS/ICOSL interaction as a novel class of immunomodulators.作为新型免疫调节剂的ICOS/ICOSL相互作用的一流小分子抑制剂。
RSC Med Chem. 2023 Aug 1;14(9):1767-1777. doi: 10.1039/d3md00150d. eCollection 2023 Sep 19.
7
Training Neural Network Models Using Molecular Dynamics Simulation Results to Efficiently Predict Cyclic Hexapeptide Structural Ensembles.使用分子动力学模拟结果训练神经网络模型,以高效预测环状六肽结构集合。
J Chem Theory Comput. 2023 Jul 25;19(14):4757-4769. doi: 10.1021/acs.jctc.3c00154. Epub 2023 May 26.
8
First-in-Human Phase I/II ICONIC Trial of the ICOS Agonist Vopratelimab Alone and with Nivolumab: ICOS-High CD4 T-Cell Populations and Predictors of Response.首次人体 I 期/II 期 ICONIC 试验:ICOS 激动剂 Vopratelimab 单药及联合 Nivolumab 治疗:ICOS 高 CD4 T 细胞群体及反应预测因子。
Clin Cancer Res. 2022 Sep 1;28(17):3695-3708. doi: 10.1158/1078-0432.CCR-21-4256.
9
Relatlimab and Nivolumab versus Nivolumab in Untreated Advanced Melanoma.Relatlimab 和 Nivolumab 对比 Nivolumab 用于未经治疗的晚期黑色素瘤。
N Engl J Med. 2022 Jan 6;386(1):24-34. doi: 10.1056/NEJMoa2109970.
10
Structure prediction of cyclic peptides by molecular dynamics + machine learning.通过分子动力学+机器学习进行环肽的结构预测
Chem Sci. 2021 Nov 5;12(44):14927-14936. doi: 10.1039/d1sc05562c. eCollection 2021 Nov 17.