TY - JOUR
T1 - Computational Assessment of Xanthones from African Medicinal Plants as Aldose Reductase Inhibitors
AU - Owoseeni, Onikepe Deborah
AU - Patil, Rajesh B.
AU - Phage, Prajakta M.
AU - Ogboye, Ruth Mosunmola
AU - Ayoola, Marcus Durojaye
AU - Famuyiwa, Samson Oluwaseyi
AU - Gboyero, Felix Olusegun
AU - Ndinteh, Derek Tantoh
AU - Faloye, Kolade Olatubosun
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/9
Y1 - 2022/9
N2 - Diabetes mellitus is a life-threatening non-communicable disease that affects all age groups. Despite the increased attention it has received in recent years, the number of diabetic patients has grown exponentially. These increased cases are attributed to essential enzymes involved in blood glucose regulation. In this study, we attempt to reveal the aldose reductase inhibitory potential of xanthones isolated from African medicinal plants. Ensemble docking, molecular dynamics simulation, density functional theory (DFT), and ADMET methods were employed to identify drug candidates as aldose reductase inhibitors. The ensemble docking results identified mangostenone B, bangangxanthone A, smeathxanthone B, mangostenone A, and allanxanthone B as potent inhibitors against the aldose reductase enzyme. Molecular dynamics studies showed the xanthones established better binding mode and affinities against the enzyme. Moreover, the electronic properties of the xanthones explained their good pharmacological potentials. Therefore, our findings suggest that the hit molecules be investigated in vitro and in vivo for drug development against aldose reductase.
AB - Diabetes mellitus is a life-threatening non-communicable disease that affects all age groups. Despite the increased attention it has received in recent years, the number of diabetic patients has grown exponentially. These increased cases are attributed to essential enzymes involved in blood glucose regulation. In this study, we attempt to reveal the aldose reductase inhibitory potential of xanthones isolated from African medicinal plants. Ensemble docking, molecular dynamics simulation, density functional theory (DFT), and ADMET methods were employed to identify drug candidates as aldose reductase inhibitors. The ensemble docking results identified mangostenone B, bangangxanthone A, smeathxanthone B, mangostenone A, and allanxanthone B as potent inhibitors against the aldose reductase enzyme. Molecular dynamics studies showed the xanthones established better binding mode and affinities against the enzyme. Moreover, the electronic properties of the xanthones explained their good pharmacological potentials. Therefore, our findings suggest that the hit molecules be investigated in vitro and in vivo for drug development against aldose reductase.
KW - aldose reductase
KW - density functional theory
KW - molecular dynamics simulation
KW - xanthone
UR - http://www.scopus.com/inward/record.url?scp=85138716177&partnerID=8YFLogxK
U2 - 10.3390/computation10090146
DO - 10.3390/computation10090146
M3 - Article
AN - SCOPUS:85138716177
SN - 2079-3197
VL - 10
JO - Computation
JF - Computation
IS - 9
M1 - 146
ER -