首页> 外文OA文献 >In vitro membrane binding and protein binding (IAM MB/PB technology) to estimate in vivo distribution: applications in early drug discovery
【2h】

In vitro membrane binding and protein binding (IAM MB/PB technology) to estimate in vivo distribution: applications in early drug discovery

机译:体外膜结合和蛋白质结合(IAM MB / PB技术)以评估体内分布:在早期药物发现中的应用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The drug discovery process can be accelerated by chromatographic profiling of the analogs to model in vivo distribution and the major non-specific binding. A balanced potency and chromatographically determined membrane and protein binding (IAM MB/PB) data enable selecting drug discovery compounds for further analysis that have the highest probability to show the desired in vivo distribution behavior for efficacy and reduced chance for toxicity. Although the basic principles of the technology have already appeared in numerous publications, the lack of standardized procedures limited its widespread applications especially in academia and small drug discovery biotech companies. In this paper, the standardized procedures are described that has been trademarked as Regis IAM MB/PB Technology®. Comparison between the Drug Efficiency Index (DEI=pIC50-logVdu+2) and generally used Ligand Lipophilicity Efficiency (LLE) has been made, demonstrating the advantage of measured IAM and HSA binding over calculated log P. The power of the proposed chromatographic technology is demonstrated using the data of marketed drugs.
机译:可以通过对类似物进行色谱分析以模拟体内分布和主要的非特异性结合来加速药物发现过程。平衡的效能和色谱确定的膜与蛋白质结合(IAM MB / PB)数据使您能够选择药物发现化合物用于进一步分析,这些化合物具有最高的可能性,可以显示出所需的体内分布行为,从而提高疗效并减少毒性。尽管该技术的基本原理已经出现在众多出版物中,但是缺乏标准化的程序限制了它的广泛应用,尤其是在学术界和小型药物发现生物技术公司中。在本文中,描述了已注册为Regis IAM MB / PBTechnology®的标准化程序。已对药物效率指数(DEI = pIC50-logVdu + 2)与常用配体亲脂性效率(LLE)进行了比较,证明了测量的IAM和HSA结合优于计算的logP。所提出的色谱技术的优势是使用市售药品的数据进行证明。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号