YH-53
目录号 : GC63262
YH-53 是一种有效的 3CLpro 抑制剂，对 SARS-CoV-1 3CLpro 和 SARS-CoV-2 3CLpro 的 Ki 值分别为 6.3 nM、34.7 nM。YH-53 强烈阻止 SARS-CoV-2 复制。YH-53 是一种具有独特苯并噻唑基酮的拟肽化合物。YH-53 具有用于 COVID-19 研究的潜力。
Cas No.:1471484-62-4
Sample solution is provided at 25 µL, 10mM.
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Quality Control & SDS
- View current batch:
- Purity: >98.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
YH-53 is a potent 3CLpro inhibitor with Ki values of 6.3 nM, 34.7 nM for SARS-CoV-1 3CLpro and SARS-CoV-2 3CLpro, respectively. YH-53 strongly blocks the SARS-CoV-2 replication. YH-53 is a peptidomimetic compound with a unique benzothiazolyl ketone. YH-53 has the potential for COVID-19 research[1][2].
YH-53 (1-25 μM; for 24 h) efficiently reduces copies of total RNA with increased concentrations in VeroE6/TMPRSS2 cells[1]. YH-53 (1, 5, 10, 15, 20, 25 μM; for 48 h) with 10 μM completely blocks the viral proliferation against SARS-CoV-2 were examined by a cytopathic effect (CPE) assay in Vero cells[1]. YH-53 (10, 100 μM; for 24 h) has no cytotoxicity with a CC50 value of >100 μM in vero cells[1]. YH-53 (10 μM) moderately inhibits CYP1A2, CYP2D6, and CYP2C8 (26.6%, 38.0%, 66.4%, respectively). YH-53 has no inhibition on CYP2C9 and CYP3A4[1]. YH-53 inhibits SARS-CoV 3CLpro with an IC50 of 0.74 μM.
YH-53 (0.1 mg/kg; iv) has a T1/2 of 2.97 hours, an AUC0-∞ of 19.7 ng•h/mL, a Vd of 3.51 L/kg in rats[1]. YH-53 (0.5 mg/kg; oral) has a T1/2 of 9.64 hours, an AUC0-∞ of 3.49 ng•h/mL, a Cmax of 1.08 ng/mL in rats[1].
[1]. Sho Konno, et al. 3CL Protease Inhibitors with an Electrophilic Arylketone Moiety as Anti-SARS-CoV-2 Agents. J Med Chem. 2021 Jul27;acs.jmedchem.1c00665.
[2]. Pillaiyar Thanigaimalai, et al. Development of potent dipeptide-type SARS-CoV 3CL protease inhibitors with novel P3 scaffolds: design, synthesis, biological evaluation, and docking studies. Eur J Med Chem. 2013 Oct;68:372-84.
| Cas No. | 1471484-62-4 | SDF | |
| 分子式 | C30H33N5O5S | 分子量 | 575.68 |
| 溶解度 | DMSO : 50 mg/mL (86.85 mM; Need ultrasonic) | 储存条件 | |
| General tips | 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液；一旦配成溶液，请分装保存，避免反复冻融造成的产品失效。 储备液的保存方式和期限：-80°C 储存时，请在 6 个月内使用，-20°C 储存时，请在 1 个月内使用。 为了提高溶解度，请将管子加热至37℃，然后在超声波浴中震荡一段时间。 |
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| Shipping Condition | 评估样品解决方案：配备蓝冰进行发货。所有其他可用尺寸：配备RT，或根据请求配备蓝冰。 | ||
| 制备储备液 | |||
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1 mg | 5 mg | 10 mg |
| 1 mM | 1.7371 mL | 8.6854 mL | 17.3708 mL |
| 5 mM | 0.3474 mL | 1.7371 mL | 3.4742 mL |
| 10 mM | 0.1737 mL | 0.8685 mL | 1.7371 mL |
| 第一步：请输入基本实验信息（考虑到实验过程中的损耗，建议多配一只动物的药量） | ||||||||||
| 给药剂量 | mg/kg |  |
动物平均体重 | g | |
每只动物给药体积 | ul | |
动物数量 | 只 |
| 第二步：请输入动物体内配方组成（配方适用于不溶于水的药物；不同批次药物配方比例不同，请联系GLPBIO为您提供正确的澄清溶液配方） | ||||||||||
| % DMSO % % Tween 80 % saline | ||||||||||
| 计算重置 | ||||||||||
计算结果:
工作液浓度： mg/ml；
DMSO母液配制方法： mg 药物溶于 μL DMSO溶液（母液浓度 mg/mL，
体内配方配制方法：取 μL DMSO母液，加入 μL PEG300，混匀澄清后加入μL Tween 80，混匀澄清后加入 μL saline，混匀澄清。
1. 首先保证母液是澄清的；
2.
一定要按照顺序依次将溶剂加入，进行下一步操作之前必须保证上一步操作得到的是澄清的溶液，可采用涡旋、超声或水浴加热等物理方法助溶。
3. 以上所有助溶剂都可在 GlpBio 网站选购。
3CL Protease Inhibitors with an Electrophilic Arylketone Moiety as Anti-SARS-CoV-2 Agents
J Med Chem 2022 Feb 24;65(4):2926-2939.PMID:34313428DOI:10.1021/acs.jmedchem.1c00665.
The novel coronavirus, SARS-CoV-2, has been identified as the causative agent for the current coronavirus disease (COVID-19) pandemic. 3CL protease (3CLpro) plays a pivotal role in the processing of viral polyproteins. We report peptidomimetic compounds with a unique benzothiazolyl ketone as a warhead group, which display potent activity against SARS-CoV-2 3CLpro. The most potent inhibitor YH-53 can strongly block the SARS-CoV-2 replication. X-ray structural analysis revealed that YH-53 establishes multiple hydrogen bond interactions with backbone amino acids and a covalent bond with the active site of 3CLpro. Further results from computational and experimental studies, including an in vitro absorption, distribution, metabolism, and excretion profile, in vivo pharmacokinetics, and metabolic analysis of YH-53 suggest that it has a high potential as a lead candidate to compete with COVID-19.
Structural Basis for the Inhibition of Coronaviral Main Proteases by a Benzothiazole-Based Inhibitor
Viruses 2022 Sep 18;14(9):2075.PMID:36146880DOI:10.3390/v14092075.
The ongoing spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused hundreds of millions of cases and millions of victims worldwide with serious consequences to global health and economies. Although many vaccines protecting against SARS-CoV-2 are currently available, constantly emerging new variants necessitate the development of alternative strategies for prevention and treatment of COVID-19. Inhibitors that target the main protease (Mpro) of SARS-CoV-2, an essential enzyme that promotes viral maturation, represent a key class of antivirals. Here, we showed that a peptidomimetic compound with benzothiazolyl ketone as warhead, YH-53, is an effective inhibitor of SARS-CoV-2, SARS-CoV, and MERS-CoV Mpros. Crystal structures of Mpros from SARS-CoV-2, SARS-CoV, and MERS-CoV bound to the inhibitor YH-53 revealed a unique ligand-binding site, which provides new insights into the mechanism of inhibition of viral replication. A detailed analysis of these crystal structures defined the key molecular determinants required for inhibition and illustrate the binding mode of Mpros from other coronaviruses. In consideration of the important role of Mpro in developing antivirals against coronaviruses, insights derived from this study should add to the design of pan-coronaviral Mpro inhibitors that are safer and more effective.
IDentif.AI-Omicron: Harnessing an AI-Derived and Disease-Agnostic Platform to Pinpoint Combinatorial Therapies for Clinically Actionable Anti-SARS-CoV-2 Intervention
ACS Nano 2022 Sep 27;16(9):15141-15154.PMID:35977379DOI:10.1021/acsnano.2c06366.
Nanomedicine-based and unmodified drug interventions to address COVID-19 have evolved over the course of the pandemic as more information is gleaned and virus variants continue to emerge. For example, some early therapies (e.g., antibodies) have experienced markedly decreased efficacy. Due to a growing concern of future drug resistant variants, current drug development strategies are seeking to find effective drug combinations. In this study, we used IDentif.AI, an artificial intelligence-derived platform, to investigate the drug-drug and drug-dose interaction space of six promising experimental or currently deployed therapies at various concentrations: EIDD-1931, YH-53, nirmatrelvir, AT-511, favipiravir, and auranofin. The drugs were tested in vitro against a live B.1.1.529 (Omicron) virus first in monotherapy and then in 50 strategic combinations designed to interrogate the interaction space of 729 possible combinations. Key findings and interactions were then further explored and validated in an additional experimental round using an expanded concentration range. Overall, we found that few of the tested drugs showed moderate efficacy as monotherapies in the actionable concentration range, but combinatorial drug testing revealed significant dose-dependent drug-drug interactions, specifically between EIDD-1931 and YH-53, as well as nirmatrelvir and YH-53. Checkerboard validation analysis confirmed these synergistic interactions and also identified an interaction between EIDD-1931 and favipiravir in an expanded range. Based on the platform nature of IDentif.AI, these findings may support further explorations of the dose-dependent drug interactions between different drug classes in further pre-clinical and clinical trials as possible combinatorial therapies consisting of unmodified and nanomedicine-enabled drugs, to combat current and future COVID-19 strains and other emerging pathogens.