admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

被引:1477
作者
Cheng, Feixiong [1 ]
Li, Weihua [1 ]
Zhou, Yadi [1 ]
Shen, Jie [1 ]
Wu, Zengrui [1 ]
Liu, Guixia [1 ]
Lee, Philip W. [1 ]
Tang, Yun [1 ]
机构
[1] E China Univ Sci & Technol, Shanghai Key Lab New Drug Design, Sch Pharm, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
IN-SILICO PREDICTION; CLASSIFICATION; DATABASE; MODELS; INHIBITORS; ASPIRIN; DRUGS;
D O I
10.1021/ci300367a
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles in the discovery/development of drugs, pesticides, food additives, consumer products and industrial chemicals. This information is especially useful when to conduct environmental and human hazard assessment. The most critical rate limiting step in the chemical safety assessment workflow is the availability of high quality data. This paper describes an ADMET structure-activity relationship database, abbreviated as admetSAR. It is an open source, text and structure searchable, and continually updated database that collects curates and manages available ADMET-associated properties data from published literatures. In admetSAR, over 210 000 ADMET annotated data points for more than 96 000 unique compounds with 45 kinds of ADMET-associated properties, proteins, species or organisms have been carefully curated from a large number of diverse literatures. The database provides a user-friendly interface to query a specific chemical profile, using either CAS registry number, common name or structure similarity. In addition, the database includes 22 qualitative classification and 5 quantitative regression models with highly predictive accuracy, allowing to estimate ecological/mammalian ADMET properties for novel chemicals. The admetSAR is accessible free of charge at http://www.admetexp.org.
引用
收藏
页码:3099 / 3105
页数:7
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