Inventory searching

Online chemical dictionary with over 500,000 records on chemical substances found in the TOXLINH, TOXBACK65, TOXBACK74. RTECS, MEDLINE, and T1>B databa.scs, as well as the EPA TSCA Inventory. Search capability by synonynis, CAS Registry Numbers, and by classes of compounds. Prime lime connect cost is S54 per hour. 

If a car is impounded for a valid reason, police may conduct inventory searches. If these searches yield evidence of a crime, the evidence wiU likely sustain a challenge to the legality of the search. 

Inventory search. Once a vehicle is impounded, it can be searched in the ordinary course of police procedure to identify the contents as part of the... 

CIRS. 2014. Chinese Chemical Inventory Search System (CCISS). Available at http //... 

In this case the > operator associated with the structure ADT causes the substructure query editor to be invoked. The user draws the desired substructure query and then the substructure and inventory searches are performed to find any qualif3dng compounds, which are then displayed. 

The output from any sxabsystem may be used to control the search of the next, by means of a common key. For exeinple, a chemistry search yields a number of structures, each of which is identified by a unique accession number. These numbers might then be used to geirner information from Biology euid Inventory relative to semiples of the structures whose numbers come from Chemistry. Or, the list of sample numbers from an Inventory search might be used to extract information from Chemistry... 

One early step in the workflow of the medicinal chemist is to computationally search for similar compounds to known actives that are either available in internal inventory or commercially available somewhere in the world, that is, to perform similarity and substructure searches on the worldwide databases of available compounds. It is in the interest of all drug discovery programs to develop a formal process to search for such compounds and place them into the bioassays for both lead generation and analog-based lead optimization. To this end, various similarity search algorithms (both 2D and 3D) should be implemented and delivered directly to the medicinal chemist. These algorithms often prove complementary to each other in terms of the chemical diversity of the resulted compounds [8]. 

The general types of searches normally encountered are emergency, exigent, inventory, no-knock, private, protective, regulatory, administrative, special needs, shakedown (prison) strip, voluntary, warrantless, and zone. 

F. X-ray Powder Difi action Search System. Compounds that fail to crystallize may still be examined by X-ray diffraction, because non-crystalline materials, as powders, give characteristic diffraction patterns. A collection of powder diffraction patterns proves to be a very effective means by which to identify materials and indeed, one of the very earliest search systems in chemical analysis was based upon such data by Hanawalt (21) over forty years ago. The importance of these data in TSCA can be seen by examining the TSCA Inventory regulations for treatment of confidential chemicals (22). Section 710.7 of these regulations indicates that EPA intends to rely on powder diffraction data to assure the validity and seriousness of a manufacturers request for treating information on a chemical as confidential. 

There are many years between the search for a hit, development of a lead, and then its launch as a drug. Thus, the inventory of currently marketed dmgs gives only an imperfect view of the synthetic challenges that medicinal chemists have to face. For this reason, this chapter ends with exemples of fluorinated moieties recently introduced in medicinal chemistry. These functional structural patterns, which are present on new drugs or on molecules at an early stage of development, will possibly have a strong impact in medicinal chemistry in the future. 

ChemSelect AQB (Advanced Query Builder) A Pfizer in-house developed reusable Java component that allows users to query various molecular structure databases within Pfizer based on molecular structural information and/or other properties, retrieve, manage, and export retrieved hits. It has a functional role similar to MDL ISIS/BASE, but with many enhanced capabilities. PGVL Hub has embedded this reusable Java component within itself so that users can search for suitable reactants from various corporate reactants databases and inventory houses and return the hits seamlessly back into PGVL Hub design session. From user s point of view, the ChemSelect AQB component is just part of PGVL Hub. 

As mentioned above, this third part of the plant psychedelic alkaloid world involves tetrahydroisoquinolines and is the substance of our third book. A very reasonable appendix to be written for this book would be a search of the chemical literature for the known isoquinolines that might be of interest as pharmacological agents. There are certainly many plant products, as well as a monster inventory of synthetics, some of which are made based on plant examples, but many others are simply laboratory creations of the imaginative chemist. 

We made a searching and fearless moral inventory of ourselves. 

In an attempt to provide an overview and assessment of the POPs in South Korea, we have conducted a comprehensive literature search and compiled the existing POPs data (including the emerging POPs) from surveys conducted since the mid-1990s in South Korea. This chapter presents (1) emission inventories of individual POPs (2) concentrations in various environmental including humans (3) exposure assessment in the ecosystem and humans (4) a case study of fate and multi-media transport of POPs and finally, (5) a proposal for a strategy to minimize releases and ultimately eliminate POPs in South Korea. 

A generic solution that has been proposed for these issues is to systematically trace the route between a known point inside our network and the victim/source host. We could then retrieve the location of the last router or switch, than is fixed and known in the inventory, and thus strongly reduce the physical search space for the machine. 

Manages reaction schemes and batches. Tracks reactants, products, conditions and reaction progress. Searches reactants and products structures or properties. Provides links to lab notebooks, compound databases, and reagent inventory. 

TSCA places requirement that manufacturers perform various kinds of health and environmental testing, use quality control in their production processes, and notify EPA of information they gain on possible adverse health effects from use of their products. Under TSCA, manufacturing is defined to include importing, and thus all requirements applicable to manufacturers apply to importers as well. Under TSCA, EPA classifies chemical substances as either existing chemicals or new chemicals. Searches of the nonconfidential, public Inventory, are available. 

The non-confidential AICS can be accessed on-line via the NICNAS Web site. Alternatively, a request to search the AICS can be made to NICNAS. Furthermore, a search of the confidential section of the AICS can be requested but only through this mechanism. The AICS is also available on the Chemical Abstract Services Chemlist database or National Chemical Inventories (NCI) [4]. 

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