Scopus
YÖKSİS DOI Eşleşti
SJR Q2
Computational analysis of natural compounds as potential phosphodiesterase type 5A inhibitors
Computational Biology and Chemistry · Aralık 2024
YÖKSİS Kayıtları
Computational analysis of natural compounds as potential phosphodiesterase type 5A inhibitors
Computational Biology and Chemistry · 2024 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
In vitro and in silico evaluation of Centaurea saligna (K.Koch) Wagenitz—an endemic folk medicinal plant
2018 ISSN: 1476-9271 SCI
Prof. Dr. GÖKHAN ZENGİN →
New insights into the in vitro biological effects, in silico docking and chemical profile of clary sage – Salvia sclarea L.
2018 ISSN: 1476-9271 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
Multifunctional approaches to provide potential pharmacophores for the pharmacy shelf: Heracleum sphondylium L. subsp. ternatum (Velen.) Brummitt.
2019 ISSN: 1476-9271 SCI
Prof. Dr. AHMET UYSAL →
HPLC-DAD profiles and pharmacological insights of Onobrychis argyrea subsp isaurica extracts
2018 ISSN: 1476-9271 SCI
Prof. Dr. GÖKHAN ZENGİN →
Multi-targeted potential of Pittosporum senacia Putt.: HPLC-ESI-MSn analysis, in silico docking, DNA protection, antimicrobial, enzyme inhibition, anti-cancer and apoptotic activity
2019 ISSN: 1476-9271 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
Chemical characterization, computational analysis and biological views on Daphne gnidioides Jaub. Spach extracts: Can a new raw material be provided for biopharmaceutical applications?
2020 ISSN: 1476-9271 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
Chemical characterization, computational analysis and biological views on Daphne gnidioides Jaub. Spach extracts: Can a new raw material be provided for biopharmaceutical applications?
2020 ISSN: 1476-9271 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
Computational analysis of natural compounds as potential phosphodiesterase type 5A inhibitors
2024 ISSN: 1476-9271 SCI-Expanded Q2
Prof. Dr. GÖKHAN ZENGİN →
Makale Bilgileri
ISSN14769271
Yayın TarihiAralık 2024
Cilt / Sayfa113
Scopus ID2-s2.0-85206261659
Özet
Phosphodiesterase type 5 (PDE5) is a cyclic nucleotide-hydrolyzing enzyme that plays essential roles in the regulation of second messenger cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) produced in response to various stimuli. Pharmacological inhibition of PDE5 has been shown to have several therapeutic uses, including treating cardiovascular diseases and erectile dysfunction. In search of PDE5A inhibitors with safer pharmacokinetic properties, computational analyses of the binding propensity of fifty natural compounds comprising flavonoids, polyphenols, and glycosides were conducted. Molecular dynamics simulation coupled with Molecular mechanics with generalized Born and surface area solvation (MM/GBSA) showed that verbascoside may inhibit the activity of PDE5 with a comparative binding energy (ΔG) of −87.8 ± 9.2 kcal/mol to that of the cocrystal ligand (PDB ID: 3BJC), having ΔG = −77.7±4.5 kcal/mol. However, the other top compounds studied were found to have lower binding propensities than the cocrystal ligand WAN: hesperidin (ΔG = −33.8 ± 3.4 kcal/mol), rutin (ΔG = −23.6 ± 26.3 kcal/mol), caftaric acid (ΔG = −21.2 ±3.6 kcal/mol), and chlorogenic acid (ΔG = 6.0 ± 16.5 kcal/mol). Therefore, verbascoside may serve as a potential PDE5A inhibitor while hesperidin, rutin, and caftaric acid may provide templates for further structural optimization for the designs of safer PDE5 inhibitors.
Yazarlar (4)
1
Abdullahi Ibrahim Uba
2
Nicholas Joseph Paradis
3
Chun Wu
4
Gokhan Zengin
ORCID: 0000-0001-6548-7823
Anahtar Kelimeler
MD simulation
MM/GBSA
Molecular docking
Natural compounds
PDE5 inhibitors
Verbascoside
Kurumlar
College of Science & Mathematics
Glassboro United States
İstanbul Arel Üniversitesi
Istanbul Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Computational Biology and Chemistry
Q2
SJR Skoru0,561
H-Index76
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Computational Mathematics (Q2)
Organic Chemistry (Q2)
Biochemistry (Q3)
Structural Biology (Q3)
Metrikler
3
Atıf
4
Yazar
6
Anahtar Kelime