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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Area Computation by the Alternative Coordinate Method01:24

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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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Peptide Bonds02:43

Peptide Bonds

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A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...
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Overview of Advanced Functional Groups02:22

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Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Design Example: Traverse Angle Computations01:25

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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Identifying Protein-protein Interaction Sites Using Peptide Arrays
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Recent Advances in Computational Methods for Identifying Anticancer Peptides.

Pengmian Feng1, Zhenyi Wang2

  • 1School of Public Health, North China University of Science and Technology, Tangshan, 063000, China.

Current Drug Targets
|August 3, 2018
PubMed
Summary
This summary is machine-generated.

Anticancer peptides (ACPs) show promise for cancer treatment by selectively targeting cancer cells. This review summarizes computational methods for identifying ACPs, aiding their clinical application.

Keywords:
Anticancer peptidescancerdiseasedrug targetmachine learning methodssequence encoding scheme.

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Oncology

Background:

  • Anticancer peptides (ACPs) are small molecules that selectively eliminate cancer cells, sparing normal cells.
  • Pre-clinical studies demonstrate the therapeutic potential of ACPs in cancer treatment.
  • Accurate identification of ACPs is crucial for advancing their clinical applications.

Purpose of the Study:

  • To review the current computational methods for identifying anticancer peptides (ACPs).
  • To discuss the challenges and future directions in the computational identification of ACPs.
  • To provide insights for future research on ACPs.

Main Methods:

  • Literature review of computational approaches for ACP identification.
  • Summary of existing computational tools and algorithms.
  • Analysis of challenges and future trends in the field.

Main Results:

  • Computational methods offer an efficient alternative to experimental techniques for ACP identification.
  • Various computational strategies have been developed, showing progress in the field.
  • Key challenges remain in developing highly reliable and accurate identification methods.

Conclusions:

  • Computational identification of ACPs is a rapidly advancing field with significant potential.
  • Overcoming current challenges will enhance the development and clinical translation of ACPs.
  • This review offers a roadmap for future research in anticancer peptide discovery.