Literature DB >> 8545846

Hazardous substances data bank (HSDB) as a source of environmental fate information on chemicals.

G C Fonger1.   

Abstract

The Hazardous Substances Data Bank (HSDB), a factual data bank on the National Library of Medicine's (NLM) TOXNET (Toxicology Data Network) online system, provides information in areas such as chemical substance identification, chemical and physical properties, safety and handling, toxicology, pharmacology, environmental fate and transformation, regulations, and analytical methodology. This article discusses how environmental fate data is handled in HSDB.

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Year:  1995        PMID： 8545846     DOI： 10.1016/0300-483x(95)03145-6

Source DB:  PubMed          Journal:  Toxicology        ISSN： 0300-483X            Impact factor:   4.221


  5 in total

1.  Web portal for management of bioindication methods and ecotoxicological tests in ecological risk assessment.

Authors:  R Smid; M Kubasek; D Klimes; L Dusek; J Jarkovsky; B Marsalek; K Hilscherova; L Blaha; P Cupr; I Holoubek
Journal:  Ecotoxicology       Date:  2006-10-17       Impact factor: 2.823

2.  Selective Detection of Nitrogen-Containing Compound Gases.

Authors:  Ran Yoo; Hyun-Sook Lee; Wonkyung Kim; Yunji Park; Aran Koo; Sang-Hyun Jin; Thang Viet Pham; Myung Jong Kim; Sunglyul Maeng; Wooyoung Lee
Journal:  Sensors (Basel)       Date:  2019-08-15       Impact factor: 3.576

3.  1,3-Dinitrobenze-Induced Genotoxicity Through Altering Nuclear Integrity of Diploid and Polyploidy Germ Cells.

Authors:  L Dinithi C Peiris; Prathitha Chathu; D D B D Perera; Harry D Moore
Journal:  Dose Response       Date:  2019-09-22       Impact factor: 2.658

4.  In silico biology of H1N1: molecular modelling of novel receptors and docking studies of inhibitors to reveal new insight in flu treatment.

Authors:  Deepak Kumar Behera; Pabitra Mohan Behera; Laxmikanta Acharya; Anshuman Dixit; Payodhar Padhi
Journal:  J Biomed Biotechnol       Date:  2012-10-17

Review 5.  Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis.

Authors:  Yunyi Wu; Guanyu Wang
Journal:  Int J Mol Sci       Date:  2018-08-10       Impact factor: 5.923
  5 in total

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