The artificial neural network selects saccharides from natural sources a promise for potential FimH inhibitor to prevent UTI infections.

ABSTRACT: The major challenge in the development of affordable medicines from natural sources is the unavailability of logical protocols to explain their mechanism of action in biological targets. FimH (Type 1 fimbrin with D-mannose specific adhesion property), a lectin on E. coli cell surface is a promising target to combat the urinary tract infection (UTI). The present study aimed at predicting the inhibitory capacity of saccharides on FimH. As mannosides are considered FimH inhibitors, the readily accessible saccharides from the PubChem collection were utilized. The artificial neural networks (ANN)-based machine learning algorithm Self-organizing map (SOM) has been successfully employed in predicting active molecules as they could discover relationships through self-organization for the ligand-ba

SUBMITTER: Dhanalakshmi M 

PROVIDER: S-EPMC11063016 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature