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Abstract data type, chemical structures

Note that many features of a chemical database system could not be reasonably duplicated with a commercial DBMS. One reason was that general DBMS s were designed to treat numbers, text, dates and money data types, but not abstract data types such as chemical structures. This allowed DBMS vendors to tune the performance of their product to the needs of the general business community, a vast market place, and to avoid specialisation in narrower markets such as the chemical/pharmaceutical industry. [Pg.99]

Abstract—Four triterpene tridesmosides rhoiptelesides A D (1 4) and a triterpene bisdesmoside rhoipteleside E (5) were isolated from Rhoiptelea chiliantha Diels et Hwd.-Mazz. (Rhoipteleaceae). Their structures were elucidated on the basis of extensive analyses of ID and 2D-NMR spectroscopic data and chemical reactions. Rhoiptelesides represent the first example of the glycoside of euphane-type triterpene. ... [Pg.186]

As a solution to this problem, the concept of abstract data t3 pe (ADT) has been proposed. The concept provides a mechanism for adding new data types, such as chemical structure, to a DBMS by supplying a framework that allows the following within the DBMS environment ... [Pg.259]

Support software must be developed in each of these areas and integrated into the DBMS for every new abstract data t3q>e. For example, to create a chemical structure ADT, a storage format, such as a connection table format, must first be defined. Then operators for full structure, substructure, and other types ol structure searches must be defined. Access methods need to be implemented to provide fast structure searches and finally, the characteristics of the various structure searches must be made known to the query optimiser to allow efficient overall query execution. [Pg.259]

Much of the data collected in the following chapter was gleaned from Chemical Abstracts and is so indicated by listing a CA reference although such a reference is often included for the convenience of readers even where the original was available. Most of the alkaloids are of structural types not treated in recent chapters of earlier volumes. This chapter is supplementary to Volume XIV, Chapter 12, p. 507. [Pg.263]

The PMN must be presented at least 90 days before the production of the new substance. New substances presented with a PNM are added to the list only after a 90-day review period and after the producer has submitted the so-called Notice of Commencement (NOC) within 30 days of the start of production. The notifier is asked for the following information Chemical Abstracts Service (CAS) number, chemical name, structural and molecular formulas, trade name, spectral analysis, type and percentage of impurities, and use. Initially, no experimental data are requested but if valid data are available, they must be included. Existing chemicals (those already listed) can be classified and consequently handled based on criteria given by the Occupational Safety and Health Agency (OSHA) and the National Institute for Occupational Safety and Health (NIOSH). [Pg.1949]


See other pages where Abstract data type, chemical structures is mentioned: [Pg.346]    [Pg.696]    [Pg.170]    [Pg.400]    [Pg.468]    [Pg.64]    [Pg.347]    [Pg.197]    [Pg.120]    [Pg.225]    [Pg.123]    [Pg.380]    [Pg.197]    [Pg.323]    [Pg.556]    [Pg.225]    [Pg.110]    [Pg.121]    [Pg.123]    [Pg.266]    [Pg.109]    [Pg.347]    [Pg.124]    [Pg.23]    [Pg.433]    [Pg.111]    [Pg.2411]    [Pg.213]    [Pg.461]   
See also in sourсe #XX -- [ Pg.260 ]




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Abstract data type, chemical structures system

Abstract data types

Chemical Abstracts

Chemical data

Chemical data structure

Data structure

Data type

Structural data

Structured Abstraction

Structured data

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