Toxicological information on chemicals published in the Russian language: Contribution to REACH and 3Rs

Sihtmäe, Mariliis; Dubourguier, Henri‐Charles; Kahru, Anne

doi:10.1016/j.tox.2009.05.001

Cited by 3 publications

(2 citation statements)

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“…Soviet and Russian toxicologists have studied thousands of chemical substances for their toxic properties, in order to provide scientifically justified values for the maximum allowed concentration (MAC) limits for chemicals in working/occupational environments, ambient air, drinking water, food, surfaces, waters and soil. These data were, and still are, published in peer-review journals and other periodical issues (1)(2)(3). Most of these Soviet Union era publications are in Russian, but Estonian toxicologists, for example, have also been publishing in international journals, e.g.…”

Section: Introductionmentioning

confidence: 99%

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E-SovTox: An Online Database of the Main Publicly-available Sources of Toxicity Data concerning REACH-relevant Chemicals Published in the Russian Language

et al. 2010

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A new open-access online database, E-SovTox, is presented. E-SovTox provides toxicological data for substances relevant to the EU Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) system, from publicly-available Russian language data sources. The database contains information selected mainly from scientific journals published during the Soviet Union era. The main information source for this database — the journal, Gigiena Truda i Professional'nye Zabolevania [Industrial Hygiene and Occupational Diseases], published between 1957 and 1992 — features acute, but also chronic, toxicity data for numerous industrial chemicals, e.g. for rats, mice, guinea-pigs and rabbits. The main goal of the above-mentioned toxicity studies was to derive the maximum allowable concentration limits for industrial chemicals in the occupational health settings of the former Soviet Union. Thus, articles featured in the database include mostly data on LD50 values, skin and eye irritation, skin sensitisation and cumulative properties. Currently, the E-SovTox database contains toxicity data selected from more than 500 papers covering more than 600 chemicals. The user is provided with the main toxicity information, as well as abstracts of these papers in Russian and in English (given as provided in the original publication). The search engine allows cross-searching of the database by the name or CAS number of the compound, and the author of the paper. The E-SovTox database can be used as a decision-support tool by researchers and regulators for the hazard assessment of chemical substances.

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Section: Introductionmentioning

confidence: 99%

“…The aim of the present work was to create an open-access online database, in which key data on the toxicological properties of REACH-relevant (industrial) chemicals reported in the Russian literature are available and searchable. Moredetailed information about these sources can be found in Sihtmäe et al (3).…”

Section: Introductionmentioning

confidence: 99%

E-SovTox: An Online Database of the Main Publicly-available Sources of Toxicity Data concerning REACH-relevant Chemicals Published in the Russian Language

et al. 2010

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Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata

et al. 2014

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Finding the Data to Develop and Evaluate (Q)SARs and Populate Categories for Toxicity Prediction

Cronin

2010

In Silico Toxicology

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This chapter describes the sources of data for in silico modelling. It is assumed that the modeller will not normally have the facilities to experimentally determine toxicological data, thus they must rely on existing data. Data can be obtained from in-house sources (e.g. for industry) or from publicly available databases and the scientific literature. For the publicly available data, the sources of toxicologically information and the relevant advantages and disadvantages are defined. The sources include “well-established” datasets and the use of literature searching, through to the use of databases and more global (meta) data portals which call on a number of databases. To use the data collected efficiently, the modeller must define the required endpoint, allow the nature of the data to drive the modelling approach and control the quality of the data and implications for that on in silico models.

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Toxicological information on chemicals published in the Russian language: Contribution to REACH and 3Rs

Cited by 3 publications

References 18 publications

E-SovTox: An Online Database of the Main Publicly-available Sources of Toxicity Data concerning REACH-relevant Chemicals Published in the Russian Language

E-SovTox: An Online Database of the Main Publicly-available Sources of Toxicity Data concerning REACH-relevant Chemicals Published in the Russian Language

Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata

Finding the Data to Develop and Evaluate (Q)SARs and Populate Categories for Toxicity Prediction

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