癌症的基本特征包括细胞增殖、血管生成、迁移、凋亡逃避机制和细胞永生等。找到癌症发生过程中这些通路的关键标记物和对应的抗体用于检测至关重要。
为您推荐一个泛素化位点预测神器——泛素化分析工具，可以为您的蛋白的泛素化位点作出预测和评分。
细胞自噬受体图形绘图工具为你的蛋白的细胞受体结合位点作出预测和评分，识别结合到自噬通路中的蛋白是非常重要的，便于让我们理解自噬在正常生理、病理过程中的作用，如发育、细胞分化、神经退化性疾病、压力条件下、感染和癌症。
SUMOplot™ Analysis Program
The SUMOplot™ Analysis Program predicts and scores sumoylation sites in your protein. The presence of this post-translational modification may help explain larger MWs than expected on SDS gels due to attachment of SUMO protein (11kDa) at multiple positions in your protein.
SUMO-1 (small ubiquitin-related modifier; also known as PIC1, UBL1, Sentrin, GMP1, and Smt3) is a member of the ubiquitin and ubiquitin-like superfamily. Most SUMO-modified proteins contain the tetrapeptide motif B-K-x-D/E where B is a hydrophobic residue, K is the lysine conjugated to SUMO, x is any amino acid (aa), D or E is an acidic residue.
The SUMOplot™ Analysis Program predicts the probability for the SUMO consensus sequence (SUMO-CS) to be engaged in SUMO attachment. The SUMOplot™ score system is based on two criteria: direct amino acid match to SUMO-CS. substitution of the consensus amino acid residues with amino acid residues exhibiting similar hydrophobicity.
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Sumoylation Antibodies
Abcepta has the most extensive panel of sumoylation antibodies. This includes |