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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
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Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
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Conservation biology is a scientific field that focuses on the preservation of biodiversity in order to protect ecosystems while meeting the needs of the human population. Humans require properly functioning ecosystems to maintain our supply of natural resources, including food, medicines, and building materials.
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All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
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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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Related Experiment Video

Updated: Feb 7, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
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Biological sequence analysis: Advances, medical applications, and challenges.

Hang Wei1, Jiangyi Shao2, Bin Liu2

  • 1School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China.

Fundamental Research
|February 6, 2026
PubMed
Summary

Artificial intelligence (AI) is revolutionizing biological sequence analysis by enabling big data insights for understanding life activities. AI tools like AlphaFold and ESM accelerate research, disease diagnosis, and drug discovery.

Keywords:
Artificial intelligenceBig data analysisBiological languageBiological sequence analysisNatural language process

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The era of biological sequence big data presents challenges in extracting meaningful insights.
  • Advancements in biotechnology and information technology are driving this data explosion.
  • Understanding complex biological processes requires sophisticated analytical tools.

Purpose of the Study:

  • To discuss advancements in biological sequence analysis.
  • To focus on the medical applications of these advancements.
  • To highlight challenges and propose future research directions.

Main Methods:

  • Leveraging artificial intelligence (AI), including big data analysis and natural language processing.
  • Utilizing advanced models such as AlphaFold and Evolutionary Scale Modeling (ESM) for protein structure prediction and functional annotation.
  • Analyzing large-scale biological sequence data to identify patterns and biological insights.

Main Results:

  • AI technologies are crucial for pattern detection in complex biological processes.
  • AlphaFold and ESM models show significant progress in protein structure prediction and functional annotation.
  • These advancements offer new tools for fundamental biological research, disease diagnosis, and drug discovery.

Conclusions:

  • Biological sequence analysis, powered by AI, is transforming biomedical research.
  • There is a need for continued innovation in sequence analysis to unlock its full potential in medicine.
  • AI-driven insights are essential for deciphering life activities and advancing healthcare solutions.