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Related Concept Videos

Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Alzheimer Disease ll: Pathophysiology01:23

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Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and...
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Alzheimer's Disease: Overview01:26

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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
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Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...
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Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
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Protein interaction network for Alzheimer's disease using computational approach.

V Srinivasa Rao1, K Srinivas1, G N Sunand Kumar1

  • 1Department of CSE, VR Siddhartha Engineering College, VR Siddhartha Engineering College, Kanuru, Vijayawada.

Bioinformation
|January 7, 2014
PubMed
Summary

This study maps Alzheimer's disease (AD) protein interactions to identify drug targets. Mouse homology analysis provides a basis for developing new bioinformatics-driven AD drug design strategies.

Keywords:
Alzheimer's diseaseAlzheimer's disease networkPPI for Alzheimer'sPPI networkprotein interaction networkprotein interactionsprotein network

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Neuroscience

Background:

  • Alzheimer's disease (AD) is a leading cause of dementia with limited effective treatments.
  • Current AD therapies are symptomatic, highlighting the need for molecular understanding to improve drug design.

Purpose of the Study:

  • To contribute to Alzheimer's disease (AD) drug design through novel proteomics approaches.
  • To construct a protein-protein interaction network for AD and analyze disease protein homology.

Main Methods:

  • Developed a protein-protein interaction network for AD involving 969 proteins and 1412 interactions.
  • Assigned confidence scores to AD proteins for prioritization and analyzed homology with paralogs and homologs.
  • Identified conserved homology with mouse proteins, suggesting their utility in drug design.

Main Results:

  • A comprehensive protein-protein interaction network for Alzheimer's disease (AD) was established.
  • Prioritization of AD proteins revealed significant homology with mouse proteins, crucial for translational research.
  • The study establishes a foundation for novel bioinformatics-based drug design linking protein interactions and signal pathways.

Conclusions:

  • The developed method offers a new bioinformatics approach for drug design in Alzheimer's disease (AD).
  • Protein-protein interaction networks and homology analysis, particularly with mouse models, are vital for advancing AD therapeutics.
  • This integrated approach holds potential for application in designing drugs for other complex diseases.