Precompetitive preclinical ADME/Tox data: set it free on the web to facilitate computational model building and assist drug development

被引:47
作者
Ekins, Sean [1 ,2 ,3 ]
Williams, Antony J. [4 ]
机构
[1] Collaborat Chem, Jenkintown, PA 19046 USA
[2] Univ Maryland, Dept Pharmaceut Sci, Baltimore, MD 21202 USA
[3] Univ Med & Dent New Jersey, Dept Pharmacol, Robert Wood Johnson Med Sch, Piscataway, NJ 08854 USA
[4] Royal Soc Chem, Wake Forest, NC 27587 USA
关键词
IN-SILICO; DISCOVERY; CHEMISTRY; TOOLS; COLLABORATION; RECEPTOROME; METABOLISM; MEDICINES; INTERNET; NETWORK;
D O I
10.1039/b917760b
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Web-based technologies coupled with a drive for improved communication between scientists have resulted in the proliferation of scientific opinion, data and knowledge at an ever-increasing rate. The increasing array of chemistry-related computer-based resources now available provides chemists with a direct path to the discovery of information, once previously accessed via library services and limited to commercial and costly resources. We propose that preclinical absorption, distribution, metabolism, excretion and toxicity data as well as pharmacokinetic properties from studies published in the literature (which use animal or human tissues in vitro or from in vivo studies) are precompetitive in nature and should be freely available on the web. This could be made possible by curating the literature and patents, data donations from pharmaceutical companies and by expanding the currently freely available ChemSpider database of over 21 million molecules with physicochemical properties. This will require linkage to PubMed, PubChem and Wikipedia as well as other frequently used public databases that are currently used, mining the full text publications to extract the pertinent experimental data. These data will need to be extracted using automated and manual methods, cleaned and then published to the ChemSpider or other database such that it will be freely available to the biomedical research and clinical communities. The value of the data being accessible will improve development of drug molecules with good ADME/Tox properties, facilitate computational model building for these properties and enable researchers to not repeat the failures of past drug discovery studies.
引用
收藏
页码:13 / 22
页数:10
相关论文
共 31 条
[1]   Drug discovery in the era of Facebook-new tools for scientific networking [J].
Bailey, David S. ;
Zanders, Edward D. .
DRUG DISCOVERY TODAY, 2008, 13 (19-20) :863-868
[2]   Chemists spin a web of data [J].
Brumfiel, Geoff .
NATURE, 2008, 453 (7192) :139-139
[3]   Automated QSPR through competitive workflow [J].
Cartmell, J ;
Enoch, S ;
Krstajic, D ;
Leahy, DE .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2005, 19 (11) :821-833
[4]   Effects of antipsychotic drugs on Ito, INa, Isus, IK1, and hERG:: QT prolongation, structure activity relationship, and network analysis [J].
Crumb, William J., Jr. ;
Ekins, Sean ;
Sarazan, R. Dustan ;
Wikel, James H. ;
Wrighton, Steven A. ;
Carlson, Christopher ;
Beasley, Charles M., Jr. .
PHARMACEUTICAL RESEARCH, 2006, 23 (06) :1133-1143
[5]   Progress in predicting human ADME parameters in silico [J].
Ekins, S ;
Waller, CL ;
Swaan, PW ;
Cruciani, G ;
Wrighton, SA ;
Wikel, JH .
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS, 2000, 44 (01) :251-272
[6]   Development of computational models for enzymes, transporters, channels, and receptors relevant to ADME/Tox [J].
Ekins, S ;
Swaan, PW .
REVIEWS IN COMPUTATIONAL CHEMISTRY, VOL 20, 2004, 20 :333-415
[7]   Present and future in vitro approaches for drug metabolism [J].
Ekins, S ;
Ring, BJ ;
Grace, J ;
McRobie-Belle, DJ ;
Wrighton, SA .
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS, 2000, 44 (01) :313-324
[8]   Computational discovery of novel low micromolar human pregnane X receptor antagonists [J].
Ekins, Sean ;
Kholodovych, Vladyslav ;
Ai, Ni ;
Sinz, Michael ;
Gal, Joseph ;
Gera, Lajos ;
Welsh, William J. ;
Bachmann, Kenneth ;
Mani, Sridhar .
MOLECULAR PHARMACOLOGY, 2008, 74 (03) :662-672
[9]   Molecular characterization of CYP2B6 substrates [J].
Ekins, Sean ;
Iyer, Manisha ;
Krasowski, Matthew D. ;
Kharasch, Evan D. .
CURRENT DRUG METABOLISM, 2008, 9 (05) :363-373
[10]   Cheminformatics analysis and learning in a data pipelining environment [J].
Hassan, Moises ;
Brown, Robert D. ;
Varma-O'Brien, Shikha ;
Rogers, David .
MOLECULAR DIVERSITY, 2006, 10 (03) :283-299