0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
In-silico investigation of bioactive peptides with anti-Alzheimer potential derived from bovine milk αs1-casein protein
نویسندگان :
Mohammad Jahangiri
1
Leila Zarandi-Miandoab
2
1- Department of Biology, Faculty of Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran
2- Department of Biology, Faculty of Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran
کلمات کلیدی :
Bioactive peptides،casein protein،Alzheimer's disease،antioxidant،bioinformatics
چکیده :
Milk is the main source of energy, protein, and fat in the human diet (Gigli, 2016). Cow's milk contains about 32 g of protein per liter, and about 80% of milk protein is casein. αs1-casein is the most abundant casein. Bioactive peptides derived from milk proteins have been the subject of numerous studies in the past two decades due to their various biological properties in human health (Haug, Høstmark and Harstad, 2007). Alzheimer's disease (AD), which has become a global problem due to the aging population and the lack of effective treatments, urgently needs innovative treatments based on natural substances (Wang et al., 2023). According to reliable sources, bioactive peptides with antioxidant properties have anti-Alzheimer's potential (Gupta and Singh, 2024). Also, by inhibiting acetylcholinesterase, it is expected that systemic and circulating acetylcholine levels will increase. Thus, the availability of acetylcholine to stimulate brain receptors for normal cognitive functions will increase. As a result, one of the preferred therapeutic strategies for the management of neurological conditions is the use of acetylcholinesterase (AChE) inhibitors (Ji et al., 2022). The effect of 13 protease enzymes on bovine milk αs1-casein was simulated in silico. In this process, 21 (non-toxic) peptide fragments with antioxidant properties were generated, and the abundance, potential activity, and digestive absorption of these peptides were also investigated. The enzymatic degradation by chymotrypsin A yielded the highest number of antioxidant peptides (5 fragments) compared to other enzymes. Subsequently, a docking test was performed between the obtained antioxidant peptides and the active site of acetylcholinesterase. Comparison of the docking results showed that the highest binding energy was related to the YFYPEL peptide. The results of this study can be used, with further investigation, for the manufacture of drugs or dietary supplements.
لیست مقالات
لیست مقالات بایگانی شده
In-silico investigation of bioactive peptides with anti-Alzheimer potential derived from bovine milk αs1-casein protein
Mohammad Jahangiri - Leila Zarandi-Miandoab
Computational Analysis of the D92V Mutation in the EF-hand II Loop of the Mnemiopsin 2 Photoprotein
Hanieh Ramezani - Vahab Jafarian - Akram Shirdel - Khosrow Khalifeh - Fatemeh Khatami
ATIC as a Theranostic Biomarker in Gastrointestinal Cancers: Insights from Autophagy Pathway Analysis
Pooya Jalali - Maryam Eghbali - Zahra Eghabli - Yasaman Gholinezhad - Zahra Salehi
Investigating the role of ursolic acid in EGFR L858R mutant inhibition in non-small cell lung cancer: Molecular docking and ADMET prediction
Tooba Abdizadeh
A Knowledge Graph-Based Approach for Drug Repurposing Using Graph Neural Networks and Language Models
Sajede Fadaei - Mohammad Hasan Hashemi - Mohammad Hossein Rohban - Amir Shamloo
Designing Anti-Cancer Peptides Using Bioinformatics to Inhibit Survivin, Disrupt Cell Division, and Trigger Apoptosis in Cancer Cells
Seyedeh Fatemeh Ahmadi - Hamidreza Samadikhah - Seyed Shahriar Arab
Immunoinformatics Approach to Epitope-Based Vaccine Design for H5N1 Avian Influenza Virus
Yasmin Alamdar
In silico vaccine design for breast cancer
Zohre Sadeghi - Zahra Davoudi
Elucidating Inflammatory Pathways in Polycystic Ovary Syndrome: A Transcriptomic Investigation of Granulosa Cell Gene Expression
Mobina Afshari Kave - Farinaz Behfarjam - Maryam Shahhosseini - Mostafa Rafiepour - Zahra Safaei Nezhad
Common genes and pathways involved in prediabetes and diabetes using bioinformatics analysis
Ali reza Morovat - Kiarash Zare - Matin Sepehrinia - Mohammad mehdi Naghizadeh
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.1