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Related Concept Videos

EDTA: Chemistry and Properties01:22

EDTA: Chemistry and Properties

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Polydentate ligands are most widely used in complexometric titrations because they form more stable complexes with the metal ions than mono- or bidentate ligands due to the chelate effect. Examples of polydentate ligands are ethylenediaminetetraacetic acid (EDTA), crown ethers, and cryptands. The most important feature of optimal polydentate ligands is the ability to form 1:1 complexes in a single-step process. Amino carboxylic acid derivatives are frequently used as complexing agents. EDTA is...
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EDTA: Auxiliary Complexing Reagents01:26

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EDTA titrations are usually carried out in highly basic conditions, where the fully deprotonated form of EDTA, Y4−, actively complexes with the free metal ions in the solution. Several metal ions precipitate as hydrous oxide (hydroxides, oxides, or oxyhydroxides) under these conditions, lowering the concentration of free metal ions in the solution. For this reason, auxiliary complexing agents or ligands such as ammonia, tartrate, citrate, or triethanolamine are used in EDTA titrations to...
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Chemical Bonds02:40

Chemical Bonds

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Atoms participate in a chemical bond formation to acquire a completed valence-shell electron configuration similar to that of the noble gas nearest to it in atomic number. Ionic, covalent, and metallic bonds are some of the important types of chemical bonds. Bond energy and bond length determine the strength of a chemical bond.
Types of Chemical Bonds
An ionic bond is formed due to electrostatic attraction between cations and anions. Often, the ions are formed by the transfer of electrons...
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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Chemical Shift: Internal References and Solvent Effects01:17

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In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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SureChEMBL: a large-scale, chemically annotated patent document database.

George Papadatos1, Mark Davies1, Nathan Dedman1

  • 1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.

Nucleic Acids Research
|November 20, 2015
PubMed
Summary
This summary is machine-generated.

SureChEMBL is a new resource providing millions of chemical compounds from patent documents. This database aids drug discovery and medicinal chemistry with advanced search tools.

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Area of Science:

  • Chemistry
  • Biotechnology
  • Pharmacology

Background:

  • Patent literature contains vast chemical information.
  • Accessing and analyzing this data is challenging.
  • Existing resources may not be comprehensive or timely.

Purpose of the Study:

  • To create a large-scale, publicly available resource of chemical compounds from patent documents.
  • To provide advanced search capabilities for compound-patent associations.
  • To facilitate drug discovery and medicinal chemistry research.

Main Methods:

  • Automated text and image-mining pipeline for data extraction.
  • Daily updates from patent literature.
  • Development of a web-based interface with combined structure and keyword search.

Main Results:

  • SureChEMBL database contains 17 million compounds from 14 million patent documents.
  • Provides open and timely access to annotated compound-patent associations.
  • Offers sophisticated search functionalities.

Conclusions:

  • SureChEMBL offers a valuable, accessible resource for chemical information in patents.
  • The database supports drug discovery, medicinal chemistry, and commercial chemical science.
  • Enables novel analysis of chemical knowledge hidden in patents.