Prediction of drug-ABC-transporter interaction - Recent advances and future challenges

被引:176
作者
Montanari, Floriane [1 ]
Ecker, Gerhard F. [1 ]
机构
[1] Univ Vienna, Dept Pharmaceut Chem, A-1090 Vienna, Austria
基金
奥地利科学基金会;
关键词
ABC transporters; Computational models; Bioassays; Machine learning; Pharmacophore modeling; Transport inhibition; BINDING CASSETTE TRANSPORTERS; MEDIATED MULTIDRUG-RESISTANCE; SALT EXPORT PUMP; P-GLYCOPROTEIN; COMPUTATIONAL MODELS; CRYSTAL-STRUCTURE; INHIBITION; EFFLUX; IDENTIFICATION; MODULATION;
D O I
10.1016/j.addr.2015.03.001
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
With the discovery of P-glycoprotein (P-gp), it became evident that ABC-transporters play a vital role in bioavailability and toxicity of drugs. They prevent intracellular accumulation of toxic compounds, which renders them a major defense mechanism against xenotoxic compounds. Their expression in cells of all major barriers (intestine, blood-brain barrier, blood-placenta barrier) as well as in metabolic organs (liver, kidney) also explains their influence on the ADMET properties of drugs and drug candidates. Thus, in silico models for the prediction of the probability of a compound to interact with P-gp or analogous transporters are of high value in the early phase of the drug discovery process. Within this review, we highlight recent developments in the area, with a special focus on the molecular basis of drug-transporter interaction. In addition, with the recent availability of X-ray structures of several ABC-transporters, also structure-based design methods have been applied and will be addressed. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:17 / 26
页数:10
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