Literature DB >> 23092397

admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties.

Feixiong Cheng1, Weihua Li, Yadi Zhou, Jie Shen, Zengrui Wu, Guixia Liu, Philip W Lee, Yun Tang.   

Abstract

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 the published literature. 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. AdmetSAR is accessible free of charge at http://www.admetexp.org.

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Year:  2012        PMID: 23092397     DOI: 10.1021/ci300367a

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


  283 in total

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4.  Predict drug permeability to blood-brain-barrier from clinical phenotypes: drug side effects and drug indications.

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5.  In silico prediction of chemical subcellular localization via multi-classification methods.

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Authors:  Viviane Dos Santos Faiões; Maurício Silva Dos Santos; Alice Maria Rolim Bernardino; Edézio Ferreira Cunha-Júnior; Marilene Marcuzzo do Canto Cavalheiro; Eduardo Caio Torres-Santos
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

8.  In silico docking and molecular dynamics simulation of 3-dehydroquinate synthase (DHQS) from Mycobacterium tuberculosis.

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Journal:  J Mol Model       Date:  2018-05-11       Impact factor: 1.810

9.  Structural insight into binding mode of inhibitor with SAHH of Plasmodium and human: interaction of curcumin with anti-malarial drug targets.

Authors:  Dev Bukhsh Singh; Seema Dwivedi
Journal:  J Chem Biol       Date:  2016-08-15

10.  In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach.

Authors:  Kranthi Kumar Konidala; Uma Devi Bommu; Suneetha Yeguvapalli; Neeraja Pabbaraju
Journal:  3 Biotech       Date:  2018-08-23       Impact factor: 2.406

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