In Search of Novel SGLT2 Inhibitors by High-throughput Virtual Screening

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BACKGROUND: Type 2 diabetes mellitus constitutes approximately 90% of all reported forms of diabetes mellitus. Insulin resistance characterizes this manifestation of diabetes. The prevalence of this condition is commonly observed in patients aged 45 and above; however, there is an emerging pattern of younger cohorts receiving diagnoses primarily attributed to lifestyle-related variables, including obesity, sedentary behavior, and poor dietary choices. The enzyme SGLT2 exerts a negative regulatory effect on insulin signaling pathways, resulting in the development of insulin resistance and subsequent elevation of blood glucose levels. The maintenance of glucose homeostasis relies on the proper functioning of insulin signaling pathways, while disruptions in insulin signaling can contribute to the development of type 2 diabetes.

OBJECTIVE: Our study aimed to investigate the role of SGLT2. This enzyme interferes with insulin signaling pathways and identifies potential SGLT2 inhibitors as a treatment for managing type 2 diabetes.

METHODS: We screened the Maybridge HitDiscover database to identify potent hits followed by druglikeness, Synthetic Accessibility, PAINS alert, toxicity estimation, ADME assessment, and Consensus Molecular docking.

RESULTS: The screening process led to the identification of three molecules that demonstrated significant binding affinity, favorable drug-like properties, effective ADME, and minimal toxicity.

CONCLUSION: The identified molecules could manage T2DM effectively by inhibiting SGLT2, providing a promising avenue for future therapeutic strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - year:2023

Enthalten in:

Current drug discovery technologies - (2023) vom: 01. Dez.

Sprache:

Englisch

Beteiligte Personen:

Debnath, Abhijit [VerfasserIn]
Sharma, Shalini [VerfasserIn]
Mazumder, Rupa [VerfasserIn]
Mazumder, Avijit [VerfasserIn]
Kumar, Rajesh [VerfasserIn]
Kumar, Ankit [VerfasserIn]
Dua, Arpita [VerfasserIn]
Singhal, Priya [VerfasserIn]
Kumar, Arvind [VerfasserIn]
Singh, Gurvinder [VerfasserIn]

Links:

Volltext

Themen:

Docking
Journal Article
SGLT2
SGLT2 inhibitor
T2DM drugs
Type 2 diabetes mellitus

Anmerkungen:

Date Revised 04.12.2023

published: Print-Electronic

Citation Status Publisher

doi:

10.2174/0115701638267615231123160650

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365383295