AI Article Synopsis

  • Diabetes is a chronic condition characterized by high blood sugar levels due to abnormal insulin production or action, particularly affecting the vascular system in type 1 and type 2 diabetes.
  • People with type 2 diabetes face a combination of genetic and environmental factors, such as overeating and lack of exercise, that contribute to insulin resistance and reduced insulin production.
  • A study utilizing virtual screening identified two chemical compounds as effective potential drug targets for type 2 diabetes after analyzing 5,000 compounds based on molecular docking studies and specific drug property rules.

Article Abstract

Diabetes is a chronic hyperglycemic disorder that leads to a group of metabolic diseases. This condition of chronic hyperglycemia is caused by abnormal insulin levels. The impact of hyperglycemia on the human vascular tree is the leading cause of disease and death in type 1 and type 2 diabetes. People with type 2 diabetes mellitus (T2DM) have abnormal secretion as well as the action of insulin. Type 2 (non-insulin-dependent) diabetes is caused by a combination of genetic factors associated with decreased insulin production, insulin resistance, and environmental conditions. These conditions include overeating, lack of exercise, obesity, and aging. Glucose transport limits the rate of dietary glucose used by fat and muscle. The glucose transporter GLUT4 is kept intracellular and sorted dynamically, and GLUT4 translocation or insulin-regulated vesicular traffic distributes it to the plasma membrane. Different chemical compounds have antidiabetic properties. The complexity, metabolism, digestion, and interaction of these chemical compounds make it difficult to understand and apply them to reduce chronic inflammation and thus prevent chronic disease. In this study, we have applied a virtual screening approach to screen the most suitable and drug-able chemical compounds to be used as potential drug targets against T2DM. We have found that out of 5000 chemical compounds that we have analyzed, only two are known to be more effective as per our experiments based upon molecular docking studies and virtual screening through Lipinski's rule and ADMET properties.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146764PMC
http://dx.doi.org/10.3390/jpm13040660DOI Listing

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