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Autor(en) / Beteiligte
Titel
Mathematical Modeling and Docking of Medicinal Plants and Synthetic Drugs to Determine Their Effects on Abnormal Expression of Cholinesterase and Acetyl Cholinesterase Proteins in Alzheimer
Ist Teil von
  • Bioinformatics and Biomedical Engineering, p.111-127
Ort / Verlag
Cham: Springer International Publishing
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Alzheimer’s is a neurodegenerative disease, typically begins slowly and after the passage of time gets worse. Around 70% of the cause of the disease is accepted to be hereditary with numerous genes generally involved. Objective: There are no proper medications for the disease. At present, the most acknowledged Alzheimer’s treatment is cholinesterase inhibitor that inactivates the acetyl cholinesterase chemical to expand acetylcholine level in the brain. Medicinal plants are also used for Alzheimer’s. Here, an In-silico attempt is made to compare the Medicinal plants with synthetic drugs to determine the efficacy of medicinal plants in the treatment of Alzheimer’s, data is collected for both medicinal plants and commercial drugs. Interactions of compounds with proteins are determined and side effects are calculated and compared to find out the best among them. The mathematical modeling of all the drugs is done to determine their effects on proteins expression. It is observed that none of the synthetic drugs interacts with acetyl cholinesterase, while the chemical constituents of medicinal plants represent greater interactions with both cholinesterase and acetyl cholinesterase, as compared to the synthetic drugs. The mathematical modeling of compounds also confirmed the inhibitory effects of medicinal plants compounds on proteins, whereas the synthetic drugs showed an in increase in the expression level of proteins. On the basis of the results, it is suggested that these chemical constituents are better used as the remedy against Alzheimer’s.
Sprache
Englisch
Identifikatoren
ISBN: 3030179346, 9783030179342
ISSN: 0302-9743
eISSN: 1611-3349
DOI: 10.1007/978-3-030-17935-9_11
Titel-ID: cdi_springer_books_10_1007_978_3_030_17935_9_11

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