Searching for New Natural Inhibitors of Acetylcholinesterase Enzyme

Camadan, Yasemin; Akkemik, Ebru

doi:10.17776/csj.983869

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…The apricot seed extracts exhibited notable inhibitory effects on the enzyme acetylcholinesterase, which is responsible for the conversion of acetylcholine to choline. According to the study's findings, apricot seed extract in ethanol could take the place of a prescription medication for neurodegenerative diseases [93]. According to a different study, amygdalin can decrease fibroblast cells and inhibit the transforming growth factor TGF β1 [94].…”

Section: Nutritional Valuementioning

confidence: 99%

Unveiling the Potential of Apricot Residues: From Nutraceuticals to Bioenergy

Makrygiannis,

Athanasiadis,

Chatzimitakos

et al. 2024

Waste

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Stone fruits, such as the apricot (Prunus armeniaca L.), are frequently consumed. As such, a substantial volume of apricot waste is generated at each stage of the food supply chain, including harvesting, processing, packaging, warehousing, transportation, retailing, and eventual consumption. This generates tons of waste annually on a global scale. The significant amounts of phenolics present in these wastes are primarily responsible for their antioxidant capacity and the subsequent health advantages they provide. As such, apricot pulp by-products could be a valuable reservoir of bioactive compounds, such as tocopherols, polyphenolic compounds, proteins, dietary fibers, etc. Moreover, apricot kernels are also recognized for their abundance of bioactive compounds, including polyphenols and tocopherols, which find utility in diverse sectors including cosmetology and the food industry. Both conventional and green methods are employed, and generally, green methods lead to higher extraction efficiency. The antimicrobial properties of apricot kernel essential oil have been widely recognized, leading to its extensive historical usage in the treatment of diverse ailments. In addition, apricot kernel oil possesses the capacity to serve as a viable resource for renewable fuels and chemicals. This review examines the potential of apricot waste as a source of bioactive compounds, as well as its utilization in diverse applications, with an emphasis on its contribution to health improvement.

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Section: Nutritional Valuementioning

confidence: 99%

Unveiling the Potential of Apricot Residues: From Nutraceuticals to Bioenergy

Makrygiannis,

Athanasiadis,

Chatzimitakos

et al. 2024

Waste

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“…AD is an irreversible neurological illness that causes cognitive and memory loss, mental and behavioral disorders, and language impairments, all of which can severely affect a person's social and professional life [3,4]. Studies have shown that Aβ deposition, neurofibrillary tangles, oxidative stress, cholinergic deficiency, and neuroinflammation are factors in the formation of AD [5][6][7]. To slow the progression of AD, clinical studies have used enzymes (including β-secretase and γ-secretase, which are involved in amyloid precursor protein catabolism and acetylcholinesterase, which is involved in acetylcholine catabolism) as targets to attempt drug design due to alterations in enzyme activity, which usually have definite effects [8].…”

Section: Introductionmentioning

confidence: 99%

Tyrosinase Inhibitory Peptides from Enzyme Hydrolyzed Royal Jelly: Production, Separation, Identification and Docking Analysis

Zhang

Liu

Sun

et al. 2023

Foods

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Tyrosinase is inextricably related to the development of Alzheimer’s disease. The effects of natural tyrosinase inhibitors on human health have attracted widespread attention. This study aimed to isolate and analyze the tyrosinase (TYR) inhibitory peptides in the enzymatic digestion products of royal jelly. We first analyzed optimal process conditions for the enzymatic digestion of royal jelly by single-factor and orthogonal experiments and then used gel filtration chromatography to obtain five fractions (D1~D5) with molecular weights ranging from 600 to 1100 Da. LC-MS/MS was applied to identify the fractions with the highest activity, and the obtained peptides were screened and molecularly docked using AutoDock Vina. The results showed that the optimal enzymatic conditions for tyrosinase inhibition rate were acid protease, enzyme addition 10,000 U/g, initial pH 4, feed-to-liquid ratio 1:4, enzymatic temperature 55 °C, and enzymatic time 4 h. The D4 fraction had the most significant TYR inhibitory activity. The IC50 values of the three new peptides with the strongest TYR inhibitory activity, TIPPPT, IIPFIF, and ILFTLL, were obtained as 7.59 mg/mL, 6.16 mg/mL, and 9.25 mg/mL, respectively. The molecular docking results showed that aromatic and hydrophobic amino acids were more favorable to occupy the catalytic center of TYR. In conclusion, the new peptide extracted from royal jelly has the potential to be used as a natural TYR inhibitory peptide in food products with health-promoting properties.

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“…A study by Akocak and Lolak [4] evaluated antioxidant properties and cholinesterase activities of certain inhibitors. AChE inhibitors in Alzheimer's treatment aim to enhance cognitive functions by increasing synaptic acetylcholine levels [5]. Heredia-García et al [6] associated BPA effects on AChE with hormonal changes affecting nervous system functions.…”

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confidence: 99%

Predicting binding affinity of drug molecules with Machine Learning: Acetylcholinesterase Enzyme Study

2023

Proceeding Book of 2nd International Conference on Frontiers in Academic Research ICFAR 2023

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This study examines the machine learning studies on the acetylcholinesterase (AChE) enzyme and summarizes the results. The AChE enzyme is an enzyme that plays an important role in the nervous system and is responsible for the breakdown of a neurotransmitter called acetylcholine. Identifying potential drug candidates targeting the AChE enzyme is of great importance in the drug discovery process. In this study, the detection and evaluation of molecules interacting with the AChE enzyme were performed using machine learning techniques such as Support Vector Regressor, Random Forest Regressor, and Extreme Gradient Boosting. The results show that machine learning is an important tool for identifying and designing compounds that interact with the AChE enzyme. This work makes a valuable contribution to research focusing on the AChE enzyme in drug discovery and has the potential to develop more effective drugs in the future.

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Searching for New Natural Inhibitors of Acetylcholinesterase Enzyme

Abstract: History

Cited by 5 publications

References 31 publications

Unveiling the Potential of Apricot Residues: From Nutraceuticals to Bioenergy

Unveiling the Potential of Apricot Residues: From Nutraceuticals to Bioenergy

Tyrosinase Inhibitory Peptides from Enzyme Hydrolyzed Royal Jelly: Production, Separation, Identification and Docking Analysis

Predicting binding affinity of drug molecules with Machine Learning: Acetylcholinesterase Enzyme Study

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