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- 2026年03月25日
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- 详细信息
- 文献和实验
- 技术资料
- 库存：
【化合物数量】990
- 供应商：
广州市左克生物
铁死亡是依赖铁离子及活性氧诱导脂质过氧化导致的调节性细胞坏死，其在形态学、生物学及基因水平上均明显不同于凋亡、坏死、自噬等其他形式的程序性性细胞死亡。铁死亡作为一种新型的细胞死亡方式，具有独特的特性和功能，与多种疾病都有密切的关系，如癌症、神经退行性疾病、急性肾功能衰竭等。
MCE 铁死亡化合物库集合了 1,066 种文献报道的具有诱导或抑制铁死亡相关的化合物及与铁死亡密切相关的靶点对应的化合物，可以用于铁死亡机制及相关疾病的研究。
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 铁死亡化合物库，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，1,045 个产品以 10 mM 浓度提供，21 个产品以 2 mM 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。
活性描述 & 特点
Biological Activity
• A unique collection of 1,066 bioactive ferroptosis signal pathway related compounds for high throughput screening (HTS) and high content screening (HCS).
• Targets include glutathione peroxidase 4, iron, dipeptidylpeptidase 4, lipoxygenase, p53, etc.
• A useful tool for the research of the regulation of ferroptosis and related diseases.
• Bioactivity and safety confirmed by preclinical research and clinical trials. Some compounds have been approved by FDA.
• Structurally diverse, medicinally active, and cell permeable.
• More detailed compound information with structure, IC50, and brief introduction.
• NMR and HPLC validated to ensure high purity and quality.
• All compounds are in stock and continuously updated.
产品详情
Product Details
Formulation:
A collection of 1,066 ferroptosis compounds supplied as pre-dissolved Solutions or Solid
Solution: 1,045 compounds supplied in 10 mM solution, 21 compounds supplied in 2 mM 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
Apoptosis(270)
Ferroptosis(191)
Keap1-Nrf2(160)
MDM-2/p53(148)
Ras(141)
Reactive Oxygen Species (ROS)(134)
Autophagy(122)
NF-κB(84)
Endogenous Metabolite(74)
MEK(71)
Lipoxygenase(70)
Raf(67)
Bacterial(54)
ERK(52)
p38 MAPK(43)
COX(41)
Akt(39)
HMG-CoA Reductase (HMGCR)(37)
Caspase(34)
Interleukin Related(33)
Dipeptidyl Peptidase(31)
Glutathione Peroxidase(31)
Dihydroorotate Dehydrogenase(30)
E1/E2/E3 Enzyme(29)
NADPH Oxidase(26)
DNA/RNA Synthesis(25)
JNK(24)
Fungal(23)
Parasite(22)
PI3K(22)
PPAR(20)
Influenza Virus(19)
NO Synthase(19)
AMPK(18)
Bcl-2 Family(18)
STAT(18)
TNF Receptor(18)
Heme Oxygenase (HO)(17)
mTOR(17)
CDK(15)
HIF/HIF Prolyl-Hydroxylase(14)
MMP(14)
NOD-like Receptor (NLR)(13)
Antibiotic(12)
Calcium Channel(12)
PARP(12)
PERK(12)
SARS-CoV(12)
Sirtuin(12)
Pyroptosis(11)
SOD(11)
EGFR(10)
GSK-3(10)
Toll-like Receptor (TLR)(10)
VEGFR(10)
JAK(9)
Mitophagy(9)
Cytochrome P450(8)
iGluR(8)
TRP Channel(8)
Tyrosinase(8)
Amyloid-β(7)
Cholinesterase (ChE)(7)
HIV(7)
Mitochondrial Metabolism(7)
SOS1(7)
Molecular Glues(6)
Necroptosis(6)
Nuclear Factor of activated T Cells (NFAT)(6)
PDGFR(6)
Potassium Channel(6)
PROTACs(6)
Sodium Channel(6)
Adrenergic Receptor(5)
Epigenetic Reader Domain(5)
FLT3(5)
HSP(5)
IKK(5)
Microtubule/Tubulin(5)
PKA(5)
RET(5)
TGF-beta/Smad(5)
Virus Protease(5)
5-HT Receptor(4)
c-Myc(4)
Dengue Virus(4)
Drug Derivative(4)
Drug Metabolite(4)
Farnesyl Transferase(4)
GABA Receptor(4)
GLP Receptor(4)
Monoamine Oxidase(4)
p62(4)
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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
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