ADME evaluation in drug discovery. 3. Modeling blood-brain barrier   partitioning using simple molecular descriptors

doi:10.1021/ci034134i

CORC > 北京大学 > 化学与分子工程学院

	ADME evaluation in drug discovery. 3. Modeling blood-brain barrier partitioning using simple molecular descriptors
	Hou, TJ ; Xu, XJ
刊名	journal of chemical information and computer sciences
	2003
关键词	PHYSICOCHEMICAL PARAMETERS ORGANIC SOLUTES SURFACE-AREA LARGE SET PREDICTION PENETRATION PERMEABILITY COEFFICIENT FIELD RATS
DOI	10.1021/ci034134i
英文摘要	In this paper, QSPR models were developed for in vivo blood-brain partitioning data (logBB) of a large data set consisting of 115 diverse organic compounds. The best model is based on three descriptors: n-octanol/ water partition coefficient calculated using the SLOGP approach, logP; high-charged polar surface areas based on the Gasteiger partial charges, HCPSA, and the excessive molecular weight larger than 360, MW360. The model bears good statistical significance, n = 78, r = 0.88, q = 0.86, s = 0.36, F = 81.5. The actual prediction potential of the model was validated through two external validation sets of 37 diverse compounds. The predicted results demonstrate that the model bears better prediction potential than many other models and can be used for logBB estimations for drug and drug-like molecules. Comparison of several logP calculation approaches suggests that logP calculated by SLOGP can be used as a significant descriptor for the prediction of molecular transport properties because SLOGP gives the most similar results with CLOGP. The QSPR model indicates that larger polar surface areas have a more negative contribution to logBB, but the absolute partial charges on the atoms surrounded by the polar surfaces should be larger than 0.10\e\. Meanwhile, tight junction membranes limit the size of hydrophilic molecules that can cross the membrane with a molecular weight of approximately 360, because when a molecule's weight is larger than 360 it shows a negative contribution to logBB. The computations of molecular surface, partial charges, logP, and logBB have been accomplished using a program called Drug-BB. Moreover, to improve the efficiency of the computations of logP, we made an extensive reparametrization of SLOGP, and the newly developed SLOGP model is only based on simple atomic addition. Further, we developed a set of parameters to calculate the topological polar surface area (TPSA), thus the high-charged topological polar surface area (HCTPSA) could be estimated from the 2D connection information of a molecule. Adopting the new strategies, the estimations of logP, HCTPSA, and logBB are only based on the topological structure of a molecule and therefore, can be used for fast screening of virtual libraries having millions of molecules.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000186848700050&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Chemistry, Multidisciplinary; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; SCI(E); EI; PubMed; 89; ARTICLE; 6; 2137-2152; 43
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/200064]
专题	化学与分子工程学院
推荐引用方式 GB/T 7714	Hou, TJ,Xu, XJ. ADME evaluation in drug discovery. 3. Modeling blood-brain barrier partitioning using simple molecular descriptors[J]. journal of chemical information and computer sciences,2003.
APA	Hou, TJ,&Xu, XJ.(2003).ADME evaluation in drug discovery. 3. Modeling blood-brain barrier partitioning using simple molecular descriptors.journal of chemical information and computer sciences.
MLA	Hou, TJ,et al."ADME evaluation in drug discovery. 3. Modeling blood-brain barrier partitioning using simple molecular descriptors".journal of chemical information and computer sciences (2003).