计算筛选天然化合物作为潜在的免疫检查点抑制剂对抗TIGIT,癌症免疫治疗的新途径。

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Aritra Chakraborty, Amit Kumar
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引用次数: 0

摘要

TIGIT-PVR信号通路是肿瘤免疫逃避的关键机制,使其成为癌症免疫治疗的一个有吸引力的靶点。尽管最近在抗tigit抗体方面取得了进展,但基于单克隆抗体的治疗方法由于其免疫原性和免疫相关的副作用而面临重大挑战。本研究提出了天然化合物作为TIGIT潜在小分子抑制剂的新途径,为癌症免疫治疗提供了抗体的可能替代方案。通过结合基于结构的虚拟筛选、ADMET分析、分子对接和分子动力学模拟的综合硅工作流程,确定了6个有希望的候选药物,主要来自细菌:新霉素K、4'-脱氧丁胺素a、5-葡萄糖基-neamine、S-11-A、12-氨基甲酰链霉素E酸和Zwittermicin a。这些候选药物表现出良好的结合能、稳定的相互作用和阻断TIGIT-PVR信号的能力。这些化合物可能会与PVR竞争以结合TIGIT,从而限制TIGIT-PVR复合物的形成,而TIGIT-PVR复合物通常会激活T细胞和NK细胞中的抑制级联反应,从而降低其抗肿瘤活性。通过破坏这种相互作用,鉴定的化合物有可能刺激T细胞和NK细胞对癌细胞的反应。与传统的抗体疗法相比,这种天然化合物可能提供更好的组织穿透性和降低的免疫原性。细菌衍生化合物作为TIGIT抑制剂的发现为癌症免疫治疗微生物代谢物的研究提供了新的方向。该策略不仅确定了一类新的TIGIT抑制剂,而且为发现和表征小分子免疫检查点抑制剂提供了一个强大的计算框架,为后续实验验证探索其在恢复抗肿瘤免疫反应和改善癌症患者临床结果方面的功效铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational screening for natural compounds as potential immune checkpoint inhibitors against TIGIT, a new avenue in cancer immunotherapy.

The TIGIT-PVR signalling pathway is a key mechanism of tumour immune evasion, making it an attractive target for cancer immunotherapy. Despite the recent advances in anti-TIGIT antibodies, monoclonal antibody-based therapeutics present significant challenges because of their immunogenicity and immune-related side effects. This study presents a new path involving natural compounds as potential small molecule inhibitors of TIGIT, providing a possible alternative to antibodies in cancer immunotherapy. Through a comprehensive in silico workflow combining structure-based virtual screening, ADMET analysis, Molecular docking and molecular dynamics simulations, six promising candidates, mostly of bacterial origin, were identified: Neomycin K, 4'-Deoxybutirosin A, 5-Glucosyl-neamine, S-11-A, 12-carbamoylstreptothricin E acid, and Zwittermicin A. These candidates demonstrated favourable binding energies, stable interactions, and the capacity to block TIGIT-PVR signalling. The compounds can potentially compete with PVR to bind to TIGIT, limiting the formation of the TIGIT-PVR complex, which typically activates an inhibitory cascade in T cells and NK cells, reducing their anti-tumour activity. By disrupting this interaction, the identified compounds have the potential to stimulate T cell and NK cell responses against cancer cells. Such natural compounds potentially provide better tissue penetration and reduced immunogenicity compared to conventional antibody therapies. The discovery of bacterial-derived compounds as TIGIT inhibitors presents a new direction in the investigation of microbial metabolites for cancer immunotherapy. This strategy not only identifies a new class of TIGIT inhibitors but also provides a robust computational framework for discovering and characterizing small molecule immune checkpoint inhibitors, paving the way for subsequent experimental validation to explore their efficacy in restoring anti-tumour immune responses and improving clinical outcomes for cancer patients.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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