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Most Used Chemistry Databases. Advances in Chemical Biology

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F19%3A00502879" target="_blank" >RIV/68378050:_____/19:00502879 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Most Used Chemistry Databases. Advances in Chemical Biology

  • Original language description

    With today's explosive growth in the amount of information available, the ability to search for the necessary information is one of the basic knowledge that each scientist must master. In addition to the basic search techniques already used by almost everybody in everyday life, such as keyword search in an online search engine, there are a number of techniques in the chemistry field that are no longer as simple or obvious. Search by chemical identifiers is probably the closest to the simple keyword search, with the difference that chemical identifiers are a little more difficult to think out. But a number of freely available programs already know how to generate these identifiers if we can specify the structure of the compound (eg ChemSketch or MarvinSketch ). The most difficult part in finding information about chemical compounds or their chemical transformations is the search by structure or substructure. Less common is also searching in structured databases according to chemical, physical or biological properties of chemical compounds. From commercial chemical database sources, Reaxys , SciFinder and Web of Science (WoS) are the most popular and most used web applications in which the above search engines are possible and which will be discussed in more detail. A comparison of the search possibilities of these three sources was published recently in J. Chem. Educ. This article will describe the types of databases used in chemistry and the search capabilities of the most important commercial tools and is a follow up of the recently published review. It will also provide an overview of alternative freely accessible web chemical resources that may in some cases replace commercial sources. In conclusion, the advantages and disadvantages of the described databases will be summarized and recommended methods for their optimal use.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LO1220" target="_blank" >LO1220: CZ-OPENSCREEN: National infrastructure for chemical biology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Advances in Chemical Biology

  • ISBN

    978-80-88011-03-3

  • Number of pages of the result

    10

  • Pages from-to

    148-158

  • Number of pages of the book

    210

  • Publisher name

    OPTIO CZ

  • Place of publication

    Praha

  • UT code for WoS chapter