Araştırma Makalesi

Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics

Cilt: 11 Sayı: 1 21 Mart 2025
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Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics

Öz

Objective: To investigate the interactions between selected phenolic compounds (hesperidin, naringin, neohesperidin, kaempferol, apigenin, hesperetin, and nobiletin) and syncytin-2 protein, evaluating their potential as novel therapeutic agents for glioblastoma and lung cancer treatment. Methods: Molecular docking simulations were employed to analyze phenolic compound-syncytin-2 protein interactions. Comprehensive in silico ADMET analyses were conducted to assess pharmacokinetic properties and toxicity profiles of the compounds. Results: Hesperidin and neohesperidin exhibited the highest affinity to syncytin-2, with binding affinities of -10.5 kcal/mol and -10.0 kcal/mol, respectively. Molecular-level analyses demonstrated that hesperidin forms critical hydrogen bonds and hydrophobic interactions with Isoleucine 371, Alanine 372, and Leucine 309 amino acid residues. ADMET analyses revealed that these two compounds exhibit low toxicity potential and optimal pharmacokinetic profiles. Conclusion: This research provides evidence that phenolic compounds may serve as inhibitors of syncytin-2 in the treatment of glioblastoma and lung cancer. The identified molecular interactions and promising ADMET profiles support the need for further investigation of these compounds. Future studies should focus on optimizing phenolic compound-based inhibitors, conducting preclinical and clinical evaluations, and assessing their potential therapeutic effects within the tumor microenvironment.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Biyoinformatik ve Hesaplamalı Biyoloji (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

21 Mart 2025

Gönderilme Tarihi

31 Aralık 2024

Kabul Tarihi

13 Şubat 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 11 Sayı: 1

Kaynak Göster

APA
Demirağ, A. D., & Güngör, H. (2025). Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 11(1), 18-29. https://doi.org/10.30934/kusbed.1610257
AMA
1.Demirağ AD, Güngör H. Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics. KOU Sag Bil Derg. 2025;11(1):18-29. doi:10.30934/kusbed.1610257
Chicago
Demirağ, Aliye Demet, ve Hatice Güngör. 2025. “Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 11 (1): 18-29. https://doi.org/10.30934/kusbed.1610257.
EndNote
Demirağ AD, Güngör H (01 Mart 2025) Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 11 1 18–29.
IEEE
[1]A. D. Demirağ ve H. Güngör, “Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics”, KOU Sag Bil Derg, c. 11, sy 1, ss. 18–29, Mar. 2025, doi: 10.30934/kusbed.1610257.
ISNAD
Demirağ, Aliye Demet - Güngör, Hatice. “Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 11/1 (01 Mart 2025): 18-29. https://doi.org/10.30934/kusbed.1610257.
JAMA
1.Demirağ AD, Güngör H. Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics. KOU Sag Bil Derg. 2025;11:18–29.
MLA
Demirağ, Aliye Demet, ve Hatice Güngör. “Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics”. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, c. 11, sy 1, Mart 2025, ss. 18-29, doi:10.30934/kusbed.1610257.
Vancouver
1.Aliye Demet Demirağ, Hatice Güngör. Comprehensive In Silico Characterization of Phenolic Compounds: Structural Optimization, Molecular Docking, and ADMET Profiling of Potential Syncytin-2 Inhibitors for Glioblastoma and Lung Cancer Therapeutics. KOU Sag Bil Derg. 01 Mart 2025;11(1):18-29. doi:10.30934/kusbed.1610257