Literature DB >> 17381169

ADME evaluation in drug discovery. 6. Can oral bioavailability in humans be effectively predicted by simple molecular property-based rules?

Tingjun Hou1, Junmei Wang, Wei Zhang, Xiaojie Xu.   

Abstract

A critically evaluated database of human oral bioavailability for 768 chemical compounds is described in this study (http://modem.ucsd.edu/adme), which provides the scientific community a publicly available and reliable source for developing predictive models of human oral bioavailability. The correlations between several important molecular properties and human oral bioavailability were investigated and compared with an earlier report by analyzing the rat oral bioavailability data (J. Med. Chem. 2002, 45, 2615). We showed that the percentages of compounds meeting the criteria based on molecular properties does not distinguish compounds with poor oral bioavailability from those with acceptable values, which may suggest that no simple rule based on molecular properties can be used as general filters to predict oral bioavailability with high confidence. A data set of intestinal absorption was also examined and compared with that of oral bioavailability. The performance of these rules based on molecular properties in the prediction of intestinal absorption is obviously much better than that of oral bioavailability in term of false positive rate, and, therefore, the applications of the "rule-based" approaches on the prediction of human bioavailability should be very cautious.

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Year:  2007        PMID: 17381169     DOI: 10.1021/ci6003515

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  28 in total

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Review 2.  Drug absorption modeling as a tool to define the strategy in clinical formulation development.

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3.  Development and Testing of Druglike Screening Libraries.

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Journal:  J Chem Inf Model       Date:  2019-01-03       Impact factor: 4.956

Review 4.  Predicting and Understanding the Human Microbiome's Impact on Pharmacology.

Authors:  Reese Hitchings; Libusha Kelly
Journal:  Trends Pharmacol Sci       Date:  2019-06-03       Impact factor: 14.819

5.  Lipophilicity prediction of peptides and peptide derivatives by consensus machine learning.

Authors:  Jens-Alexander Fuchs; Francesca Grisoni; Michael Kossenjans; Jan A Hiss; Gisbert Schneider
Journal:  Medchemcomm       Date:  2018-08-22       Impact factor: 3.597

6.  ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage.

Authors:  Sichao Wang; Youyong Li; Junmei Wang; Lei Chen; Liling Zhang; Huidong Yu; Tingjun Hou
Journal:  Mol Pharm       Date:  2012-03-16       Impact factor: 4.939

Review 7.  Advances in computationally modeling human oral bioavailability.

Authors:  Junmei Wang; Tingjun Hou
Journal:  Adv Drug Deliv Rev       Date:  2015-01-09       Impact factor: 15.470

8.  Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research.

Authors:  Denis Fourches; Eugene Muratov; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2010-07-26       Impact factor: 4.956

9.  The gastrointestinal fate of limonin and its effect on gut microbiota in mice.

Authors:  Min Gu; Jin Sun; Ce Qi; Xiaokun Cai; Timothy Goulette; Mingyue Song; Xiaomeng You; David A Sela; Hang Xiao
Journal:  Food Funct       Date:  2019-08-16       Impact factor: 5.396

10.  Anti-trypanosomal activities and structural chemical properties of selected compound classes.

Authors:  Alicia Ponte-Sucre; Heike Bruhn; Tanja Schirmeister; Alexander Cecil; Christian R Albert; Christian Buechold; Maximilian Tischer; Susanne Schlesinger; Tim Goebel; Antje Fuß; Daniela Mathein; Benjamin Merget; Christoph A Sotriffer; August Stich; Georg Krohne; Markus Engstler; Gerhard Bringmann; Ulrike Holzgrabe
Journal:  Parasitol Res       Date:  2014-11-23       Impact factor: 2.289

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