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首页> 外文期刊>Molecular diversity >Role of breast cancer resistance protein (BCRP) as active efflux transporter on blood-brain barrier (BBB) permeability
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Role of breast cancer resistance protein (BCRP) as active efflux transporter on blood-brain barrier (BBB) permeability

机译:乳腺癌抗性蛋白(BCRP)作为主动外排转运蛋白对血脑屏障(BBB)通透性的作用

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Nowadays most of the CNS acting therapeutic molecules are failing in clinical trials due to efflux transporters at the blood brain barrier (BBB) which imparts resistance and poor ADMET properties of these molecules. CNS acting drug molecules interact with the BBB prior to their target site, so there is a need to develop predictive models for BBB permeability which can be used in the initial phases of drug discovery process. Most of the drug molecules are transported to the brain via passive diffusion which is explored extensively; on the other hand, the role of active efflux transporters in BBB permeability is unclear. Our aim is to develop predictive models for BBB permeability that include active efflux transporters. An in silico model has been developed to assess the role of BCRP on BBB permeation. Eight descriptors were selected, which also include BCRP substrate probabilities used for model development and show a relationship between BCRP and logBB. From our analysis, it was found that 11 molecules satisfied all criteria required for BBB permeation but have low logBB values. These 11 molecules are predicted as BCRP substrates from the model developed, suggesting that the molecules are effluxed by the BCRP transporter. This predictive ability was further validated by docking of these 11 molecules into BCRP protein. This study provides a new mechanistic insight into correlation of low logBB values and efflux mechanism of BCRP in BBB.
机译:如今,大多数中枢神经系统作用性治疗分子由于血脑屏障(BBB)的外排转运蛋白而在临床试验中失败,这会给这些分子带来抗药性和较差的ADMET特性。中枢神经系统作用药物分子在其靶位点之前与血脑屏障相互作用,因此有必要为血脑屏障通透性建立预测模型,该模型可用于药物发现过程的初始阶段。大多数药物分子通过被动扩散被运输到大脑,这已被广泛研究。另一方面,尚不清楚主动外排转运蛋白在血脑屏障通透性中的作用。我们的目的是为BBB渗透性开发预测模型,其中包括主动外排转运蛋白。已开发了计算机模型,以评估BCRP对BBB渗透的作用。选择了八个描述符,这些描述符还包括用于模型开发的BCRP底物概率,并显示了BCRP和logBB之间的关系。从我们的分析中发现,有11个分子满足BBB渗透所需的所有标准,但logBB值较低。从所开发的模型预测这11个分子为BCRP底物,表明该分子被BCRP转运蛋白排出。通过将这11个分子对接到BCRP蛋白中,进一步证实了这种预测能力。这项研究提供了新的机制洞察低logBB值和BBB中BCRP外排机制的相关性。

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