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Classification, biological chemical

Interest in (5,5)-fused ring systems developed in separate, albeit closely related, directions. In the first, chemists continue their quest for new compounds having unique biological, chemical and physical properties. In the second, emphasis is on the classification of aromaticity based upon molecular conformity with Hiickel s rule. An increasing understanding of the fundamental chemistry of heterocyclic ring systems has led to considerable advances in this field, as evidenced by the growing list of applications as biocides and in industrial processes. [Pg.974]

Schuffenhauer A, Brown N, Ertl P, Jenkins JL, Selzer P, Hamon J. Clustering and rule-based classifications of chemical structures evaluated in the biological activity space. Chem. Inf. Model. 47. 2007 47 325-336. [Pg.223]

W. F. Pearman and A. W. Fountain, Classification of Chemical and Biological Warfare Agent Simulants by Surface-Enhanced Raman Spectroscopy and Multivariate Statistical Techniques, Appl. Spec., 60, 356-36 (2001). [Pg.214]

Requirements for the comparability of biological monitoring results, presentation and classification of ecological status and ecological potential, and presentation of monitoring results and classification of chemical status. [Pg.8]

Figure 7 Illustration of a decision tree generated with C4.5 obtained for the classification of chemical carcinogens in rodents [61]. The classification of 122 chemicals was based on a molecular feature representation that included structural alerts, biological activities in different assays and pathological indicators. The classification leaves at the right hand side of the decision tree are visualized graphically by filled or open boxes. A filled box indicates that the chemicals in that box are classified as rodent carcinogenic open boxes indicate chemicals without rodent carcinogenicity. Note the strong imbalance of the decision tree. Figure 7 Illustration of a decision tree generated with C4.5 obtained for the classification of chemical carcinogens in rodents [61]. The classification of 122 chemicals was based on a molecular feature representation that included structural alerts, biological activities in different assays and pathological indicators. The classification leaves at the right hand side of the decision tree are visualized graphically by filled or open boxes. A filled box indicates that the chemicals in that box are classified as rodent carcinogenic open boxes indicate chemicals without rodent carcinogenicity. Note the strong imbalance of the decision tree.
The details of the classifications and chemical structures of four types of natural phthalides are illustrated in Figs. (2-6). Most of the isolated natural phthalides belong to the 3-substituted phthalide type, which accounts for about 61% of the total known naturally occurring phthalides, and of these, non-alkaloid phthalides constitute the most important subtype due not only to their abundance in nature (75 compounds identified) but also their extensively reported pharmacological activities. The pharmacological activities of individual phthalides are discussed in the following Biological Activity Section. [Pg.625]

Much of this handbook is concerned with the how and why of crystallization and crystallizer design. This chapter will focus on the crystallization of one particular class of chemical compounds, namely the proteins. In the timeline of crystallization, protein crystallization is a newcomer. The first mention of protein crystal formation, roughly 150 years ago, involved crystallizing hemoglobin from the blood of various species (Lehman 1853 Reichert and Brown 1909 Debru 1983 McPherson 1991). This work was followed by the crystallization of a variety of proteins from plants to egg white (Sumner 1926). These early studies were pivotal in establishing that enzymes are proteins (Dounce and Allen 1988). The use of protein crystallization in purification and classification of biological chemicals resulted in the Nobel Prize for Chemistry being awarded to Sumner, Nothrop, and Stanley in 1946. [Pg.267]

Binary and multiclass classification Support Vector Machines (SVM) [9], Gaussian Processes for Classification (GP-C)[11] Classification of chemical compounds (active/inactive), predicting profiles of biological activity for chemical compounds... [Pg.454]

The usual classification of chemical peels comprises superficial, medium and deep peels. For superficial peels, AHA, Jessner s solution, tretinoin, TCA in concentrations of 10-30% and most recently hpo-hydroxy add are used to induce an exfoliation of the epidermis. Medium-depth agents such as TCA (30-50%) cause an epidermal to papillary dermal peel with subsequent regeneration. Deep peels using TCA (>50%) or phenol-based formulations penetrate the reticular dermis to induce dermal regeneration. The success of peeling in darker skin is crudally dependent on the physician s understanding of the chemical and biological processes, as well as of indications, clinical effectiveness and side effects of the procedure (see Box 9.1). [Pg.89]

Classification of chemical and biological warfare agent simulants by surface-enhanced Raman spectroscopy and multivariate statistical techniques. Applied Spectroscopy, 60, 356-65. [Pg.224]

The fir.-fit line of the file (see Figure 2-110) - the HEADER record - hold.s the moleculc. s classification string (columns 11-50), the deposition date (the date when the data were received by the PDB) in columns 51-59, and the PDB (Dcode for the molecule, which is unique within the Protein Data Bank, in columns 63-66. The second line - the TITLE record - contains the title of the experiment or the analysis that is represented in the entry. The subsequent records contain a more detailed description of the macromolecular content of the entiy (COMPND), the biological and/or chemical source ofeach biological molecule in the entiy (SOURCE), a set ofkeywords relevant to the entiy (KEYWDS). information about the experiment (EXPDTA), a list of people responsible for the contents of this entiy (.AUTHOR), a history of modifications made to this entiy since its release (REVDAT), and finally the primaiy literature citation that describes the experiment which resulted in the deposited dataset ()RNL). [Pg.115]

The area of nonsteroidal antiestrogens along with other classes of nonsteroidal antagonists of sex-steroid hormone action has been reviewed to 1986, and these compounds have been grouped by chemical stmcture as a basis of classification rather than any biochemical or biological test system utilized to assess antagonist activity (46). [Pg.241]

Processes and/or unit operations that fall under this classification include adsorption, ion exchange, stripping, chemical oxidation, and membrane separations. All of these are more expensive than biological treatment but are used for removal of pollutants that are not easily removed by biomass. Often these are utilized in series with biologic treatment but sometimes they are used as stand-alone processes. [Pg.2226]

Once again we come upon a chemical classification that has no pharmacological significance. The three drugs in this small group cause widely different biological responses. [Pg.44]


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See also in sourсe #XX -- [ Pg.29 ]




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