Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds

被引:321
作者
Obach, R. Scott [2 ]
Lombardo, Franco [1 ]
Waters, Nigel J.
机构
[1] Novartis Inst Biomed Res, Metab & Pharmacokinet Grp, Cambridge, MA 02139 USA
[2] Groton Labs, Pfizer Global Res & Dev, Pharmacokinet Dynam & Metab, Groton, CT USA
关键词
D O I
10.1124/dmd.108.020479
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
We present herein a compilation and trend analysis of human i.v. pharmacokinetic data on 670 drugs representing, to our knowledge, the largest publicly available set of human clinical pharmacokinetic data. This data set provides the drug metabolism scientist with a robust and accurate resource suitable for a number of applications, including in silico modeling, in vitro-in vivo scaling, and physiologically based pharmacokinetic approaches. Clearance, volume of distribution at steady state, mean residence time, and terminal phase half-life were obtained or derived from original references exclusively from studies utilizing i.v. administration. Plasma protein binding data were collected from other sources to supplement these pharmacokinetic data. These parameters were analyzed concurrently with a range of simple physicochemical descriptors, and resultant trends and patterns within the data are presented. Our findings with this much expanded data set were consistent with earlier described notions of trends between physicochemical properties and pharmacokinetic behavior. These observations and analyses, along with the large database of human pharmacokinetic data, should enable future efforts aimed toward developing quantitative structure-pharmacokinetic relationships and improving our understanding of the relationship between fundamental chemical characteristics and drug disposition.
引用
收藏
页码:1385 / 1405
页数:21
相关论文
共 33 条
[11]   The impact of in vitro binding on in vitro -: In vivo extrapolations, projections of metabolic clearance and clinical drug-drug interactions [J].
Grime, K ;
Riley, RJ .
CURRENT DRUG METABOLISM, 2006, 7 (03) :251-264
[12]   In silico ADME modeling 3:: Computational models to predict human intestinal absorption using sphere exclusion and kNN QSAR methods [J].
Gunturi, Sitarama B. ;
Narayanan, Ramamurthi .
QSAR & COMBINATORIAL SCIENCE, 2007, 26 (05) :653-668
[13]   Extrapolation of human pharmacokinetic parameters from rat, dog, and monkey data: Molecular properties associated with extrapolative success or failure [J].
Jolivette, LJ ;
Ward, KW .
JOURNAL OF PHARMACEUTICAL SCIENCES, 2005, 94 (07) :1467-1483
[14]  
KREMER JMH, 1988, PHARMACOL REV, V40, P1
[15]   Baseline lipophilicity relationships in human cytochromes P450 associated with drug metabolism [J].
Lewis, DFV ;
Dickins, M .
DRUG METABOLISM REVIEWS, 2003, 35 (01) :1-18
[16]   Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings [J].
Lipinski, CA ;
Lombardo, F ;
Dominy, BW ;
Feeney, PJ .
ADVANCED DRUG DELIVERY REVIEWS, 1997, 23 (1-3) :3-25
[17]   Hybrid mixture discriminant analysis-random forest computational model for the prediction of volume of distribution of drugs in human [J].
Lombardo, F ;
Obach, RS ;
DiCapua, FM ;
Bakken, GA ;
Lu, J ;
Potter, DM ;
Gao, F ;
Miller, MD ;
Zhang, Y .
JOURNAL OF MEDICINAL CHEMISTRY, 2006, 49 (07) :2262-2267
[18]   Prediction of volume of distribution values in humans for neutral and basic drugs using physicochemical measurements and plasma protein binding data [J].
Lombardo, F ;
Obach, RS ;
Shalaeva, MY ;
Gao, F .
JOURNAL OF MEDICINAL CHEMISTRY, 2002, 45 (13) :2867-2876
[19]   Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics [J].
Lombardo, F ;
Obach, RS ;
Shalaeva, MY ;
Gao, F .
JOURNAL OF MEDICINAL CHEMISTRY, 2004, 47 (05) :1242-1250
[20]   Interspecies allometric scaling. Part I: prediction of clearance in large animals [J].
Mahmood, I. ;
Martinez, M. ;
Hunter, R. P. .
JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS, 2006, 29 (05) :415-423