(S)-Enzaplatovir
(Synonyms: (S)-BTA-C585) 目录号 : GC62750(S)-Enzaplatovir ((S)-BTA-C585) 是 Enzaplatovir 的S-对映体。(S)-Enzaplatovir 显示出对呼吸道合胞病毒 (RSV) 的 EC50 为56 nM (专利WO2011094823A1 compound 77)。
Cas No.:1323077-88-8
Sample solution is provided at 25 µL, 10mM.
Quality Control & SDS
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- Purity: >99.00%
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(S)-Enzaplatovir ((S)-BTA-C585) is the S-enantiomer of Enzaplatovir. (S)-Enzaplatovir shows antiviral activities with an EC50 of 56 nM for respiratory syncytial viral (RSV) (patent WO2011094823A1 compound 77)[1].
[1]. Jeffrey Peter Mitchell, et al. Compounds for treating respiratory syncytial virus infections. WO2011094823A1
Cas No. | 1323077-88-8 | SDF | |
别名 | (S)-BTA-C585 | ||
分子式 | C20H19N5O3 | 分子量 | 377.4 |
溶解度 | DMSO : 200 mg/mL (529.94 mM; Need ultrasonic) | 储存条件 | Store at -20°C |
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 | |||
1 mg | 5 mg | 10 mg | |
1 mM | 2.6497 mL | 13.2485 mL | 26.4971 mL |
5 mM | 0.5299 mL | 2.6497 mL | 5.2994 mL |
10 mM | 0.265 mL | 1.3249 mL | 2.6497 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。
Drug repurposing for identification of potential inhibitors against SARS-CoV-2 spike receptor-binding domain: An in silico approach
Indian J Med Res 2021;153(1 & 2):132-143.PMID:33818470DOI:PMC8184087
Background & objectives: The world is currently under the threat of coronavirus disease 2019 (COVID-19) infection, caused by SARS-CoV-2. The objective of the present investigation was to repurpose the drugs with potential antiviral activity against receptor-binding domain (RBD) of SARS-CoV-2 spike (S) protein among 56 commercially available drugs. Therefore, an integrative computational approach, using molecular docking, quantum chemical calculation and molecular dynamics, was performed to unzip the effective drug-target interactions between RBD and 56 commercially available drugs. Methods: The present in silico approach was based on information of drugs and experimentally derived crystal structure of RBD of SARS-CoV-2 S protein. Molecular docking analysis was performed for RBD against all 56 reported drugs using AutoDock 4.2 tool to screen the drugs with better potential antiviral activity which were further analysed by other computational tools for repurposing potential drug or drugs for COVID-19 therapeutics. Results: Drugs such as chalcone, grazoprevir, enzaplatovir, dolutegravir, daclatasvir, tideglusib, presatovir, remdesivir and simeprevir were predicted to be potentially effective antiviral drugs against RBD and could have good COVID-19 therapeutic efficacy. Simeprevir displayed the highest binding affinity and reactivity against RBD with the values of -8.52 kcal/mol (binding energy) and 9.254 kcal/mol (band energy gap) among all the 56 drugs under investigation. Interpretation & conclusions: In the current investigation, simeprevir was identified as the potential antiviral drug based on the in silico findings in comparison to remdesivir, favipiravir and other 53 drugs. Further, laboratory and clinical investigations are needed to be carried out which will aid in the development of quick therapeutics designed for COVID-19.