产品
编 号：F089455
分子式：C143H244N50O42S4
分子量：3464.04
分子式：C143H244N50O42S4
分子量：3464.04
产品类型
规格
价格
是否有货
1mg
询价
询价
5mg
询价
询价
结构图
CAS No: 124584-08-3
产品详情
生物活性：
Nesiritide (Brain Natriuretic Peptide-32 human) is an agonist of natriuretic peptide receptors (NPRs), with Kd values of 7.3 and 13 pM for NPR-A and NPR-C, respectively.
体外研究：
Nesiritide (Brain Natriuretic Peptide-32 human) is an agonist of natriuretic peptide receptor (NPR), with Kd values of 7.3 and 13 pM for NPR-A and NPR-C, respectively. ProBNP1-108 stimulates guanylyl cyclase-A (GC-A) to near-maximum activities but is 13-fold less potent than Nesiritide (BNP1-32). ProBNP1-108 binds human GC-A 35-fold less tightly than Nesiritide. Neither proBNP1–108 nor Nesiritide activates GC-B. The natriuretic peptide clearance receptor binds proBNP1-108 3-fold less tightly than Nesiritide. The half time for degradation of proBNP1-108 by human kidney membranes is 2.7-fold longer than for Nesiritide, and the time required for complete degradation is 6-fold longer. Nesiritide and proBNP1-108 are best fitted by first- and second-order exponential decay models, respectively.
Nesiritide (Brain Natriuretic Peptide-32 human) is an agonist of natriuretic peptide receptors (NPRs), with Kd values of 7.3 and 13 pM for NPR-A and NPR-C, respectively.
体外研究：
Nesiritide (Brain Natriuretic Peptide-32 human) is an agonist of natriuretic peptide receptor (NPR), with Kd values of 7.3 and 13 pM for NPR-A and NPR-C, respectively. ProBNP1-108 stimulates guanylyl cyclase-A (GC-A) to near-maximum activities but is 13-fold less potent than Nesiritide (BNP1-32). ProBNP1-108 binds human GC-A 35-fold less tightly than Nesiritide. Neither proBNP1–108 nor Nesiritide activates GC-B. The natriuretic peptide clearance receptor binds proBNP1-108 3-fold less tightly than Nesiritide. The half time for degradation of proBNP1-108 by human kidney membranes is 2.7-fold longer than for Nesiritide, and the time required for complete degradation is 6-fold longer. Nesiritide and proBNP1-108 are best fitted by first- and second-order exponential decay models, respectively.
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