- 询价
- MCE
- HY-L044
- 2026年03月25日
企业认证
相关产品推荐更多 >
万千商家帮你免费找货
0 人在求购买到急需产品
- 详细信息
- 文献和实验
- 技术资料
- 库存：
【化合物数量】598
- 供应商：
广州市左克生物
核苷及核苷酸类似物是人工合成的，经过一定化学修饰的物质，可以模拟机体内核苷及核苷酸，参与 DNA 或 RNA 合成，但由于无法发挥正常功能，因此可以阻断细胞分裂或病毒复制等。除了参与核酸组成之外，核苷及核苷酸类似物还可以作用于机体内一些重要的酶，抑制酶活性，如人类和病毒聚合酶（DNA 依赖的 DNA 聚合酶、RNA 依赖的 DNA 聚合酶或 RNA 依赖的 RNA 聚合酶）、激酶、核苷酸还原酶、DNA 甲基转移酶、嘌呤和嘧啶核苷磷酸化酶和胸苷酸合成酶等。核苷和核苷酸类似物的这些作用机制在抑制癌细胞生长、病毒复制以及治疗其他适应症方面具有潜在的应用价值。
MCE 提供了 515 种核苷酸化合物，包括核苷酸、核苷及其结构类似物。MCE 核苷类化合物库可用于高通量筛选和高内涵筛选，是开发抗肿瘤和抗病毒药物的有效工具。
我们将在明确您的产品用途后，向符合资质的客户通过定制合成服务的方式提供 MCE 核苷类化合物库，我们为该库中的所有产品提供溶液包装或粉末包装。溶液包装中，511 个产品以 10 mM 浓度提供，3 个产品以 2 mM 浓度提供，1 个产品以 3 mg/mL 浓度提供。
溶液包装中，我们对于溶液状态稳定且溶解度不低于 10 mM 的产品，提供 10 mM 溶液；对于溶液状态稳定且溶解度介于 2~10 mM 的产品，我们提供 2 mM 溶液；对于溶液状态稳定、分子量不确定且溶解度不低于 3 mg/mL产品，我们提供 3 mg/mL 溶液。
活性描述 & 特点
Biological Activity
• A unique collection of 515 nucleotide/nucleoside and nucleotide/nucleoside analogue compounds.
• A useful tool for the discovery of nucleotide drugs.
• Nucleotide, nucleoside and their structural analogues are included.
• More detailed compound information with structure, IC50, and other chemical & biological data.
• NMR and HPLC validated ensure high purity.
• All compounds are in stock and continuously updated.
产品详情
Product Details
Formulation:
A collection of 515 nucleotide compounds supplied as pre-dissolved Solutions or Solid
Solution: 511 compounds supplied in 10 mM solution, 3 compounds supplied in 2 mM solution, 1 compounds supplied in 3 mg/mL solution.
Layout:
96-well storage tube or 96-well plate: 1st and 12th column are left empty.
384-well plate: the first two columns and the last two columns are left empty.
Compounds with different concentrations or dissolved in different solvents will be put on separate plates. This way of layout may increase the number of plates because there could be three solvents and three concentrations.
If you have other requirements, please let us know.
Container:
96- or 384-well Plate with Peelable Foil Seal; 96-well Format Sample Storage Tube With Screw Cap and Optional 2D Barcode
Storage:
-80°C
Shipping:
Blue ice or dry ice
化合物库组成
Composition
Nucleoside Antimetabolite/Analog(270)
DNA/RNA Synthesis(114)
Endogenous Metabolite(93)
Apoptosis(40)
Autophagy(23)
Antibiotic(18)
HCV(16)
HIV(16)
HSV(15)
Bacterial(14)
Adenosine Receptor(13)
HBV(11)
Orthopoxvirus(10)
Reverse Transcriptase(10)
Drug Metabolite(8)
Influenza Virus(7)
DNA Methyltransferase(6)
Drug Derivative(6)
Parasite(6)
SARS-CoV(6)
Thymidylate Synthase(5)
Akt(4)
Drug Intermediate(4)
Interleukin Related(4)
NF-κB(4)
P2Y Receptor(4)
TNF Receptor(4)
AMPK(3)
CD73(3)
CDK(3)
Fungal(3)
Mitochondrial Metabolism(3)
Phosphodiesterase (PDE)(3)
PKA(3)
Toll-like Receptor (TLR)(3)
Virus Protease(3)
Adenosine Deaminase(2)
Aminoacyl-tRNA Synthetase(2)
Bcl-2 Family(2)
Caspase(2)
CMV(2)
Fat Mass and Obesity-associated Protein (FTO)(2)
HDAC(2)
Insecticide(2)
mTOR(2)
NOD-like Receptor (NLR)(2)
Oxidative Phosphorylation(2)
Phytohormone(2)
Reactive Oxygen Species (ROS)(2)
SOD(2)
Adenosine Kinase(1)
Adenylate Cyclase(1)
Amine N-methyltransferase(1)
Aminopeptidase(1)
ATM/ATR(1)
c-Myc(1)
Calcium Channel(1)
Cholinesterase (ChE)(1)
Deubiquitinase(1)
Dihydropyrimidine Dehydrogenase (DPD)(1)
Dipeptidyl Peptidase(1)
Enterovirus(1)
Epigenetic Reader Domain(1)
ERK(1)
Ferroptosis(1)
Filovirus(1)
FKBP(1)
FLT3(1)
GABA Receptor(1)
HCV Protease(1)
Hedgehog(1)
Histone Acetyltransferase(1)
HSP(1)
IFNAR(1)
iGluR(1)
Ligands for E3 Ligase(1)
MDM-2/p53(1)
Mitophagy(1)
MMP(1)
NADPH Oxidase(1)
NO Synthase(1)
Organoid(1)
p38 MAPK(1)
PARP(1)
Phosphatase(1)
PI3K(1)
PKC(1)
Potassium Channel(1)
PPAR(1)
RET(1)
RSV(1)
STAT(1)
TGF-beta/Smad(1)
风险提示：丁香通仅作为第三方平台，为商家信息发布提供平台空间。用户咨询产品时请注意保护个人信息及财产安全，合理判断，谨慎选购商品，商家和用户对交易行为负责。对于医疗器械类产品，请先查证核实企业经营资质和医疗器械产品注册证情况。
文献和实验with this topic (1,2), but an update seemed necessary due to the rapid evolution of this field. The scope of this chapter is the management of different types of compound collec-tions from both physical and electronic points of view, including some aspects
Informatics in Compound Library Management
for compound library management, these systems do not come cheaply. Without doubt, for large pharma the return on investment for one of these systems can be justified; however, the upfront cost is typically prohibitive for smaller businesses looking to stretch
Compound Library Design for Target Families
and the extremely high-cost procedure jointly force the scientist to use additional computational tools for rational compound library design and selection. The present chapter will focus specifically on application of a predictive mapping computational technology
技术资料暂无技术资料 索取技术资料
