Search of inhibitors of aldose reductase for treatment of diabetic cataracts using machine learning.

ABSTRACT:

Purpose

Patients with diabetes mellitus have an elevated chance of developing cataracts, a degenerative vision-impairing condition often needing surgery. The process of the reduction of glucose to sorbitol in the lens of the human eye that causes cataracts is managed by the Aldose Reductase Enzyme (AR), and it is been found that AR inhibitors may mitigate the onset of diabetic cataracts. There exists a large pool of natural and synthetic AR inhibitors that can prevent diabetic complications, and the development of a machine-learning (ML) prediction model may bring new AR inhibitors with better characteristics into clinical use.

Methods

Using known AR inhibitors and their chemical-physical descriptors we created the ML model for prediction of new AR inhibitors. The predicted

SUBMITTER: Chen T 

PROVIDER: S-EPMC10624573 | biostudies-literature | 2023 Nov-Dec

REPOSITORIES: biostudies-literature