An Approach Of Computer Aided Drug Design (CADD) Tools For In-silico Evaluation Of Various Derivatives Of Antidiabetic Standard Drugs
An in-silico ADME/T study utilizing Swiss ADME software was conducted on novel derivatives of standard antidiabetic drugs, revealing reduced toxicity levels compared to existing medications. Docking scores showed significant interactions with antidiabetic and antitubercular properties, successfully binding to protein PDB IDs 8Q0T and 1H5U. Predictive analysis yielded Pa and Pi values (0-1), indicating promising antidiabetic activity. These findings suggest the derivatives' potential for development into enhanced efficacy antidiabetic compounds, opening new avenues for antidiabetic drug discovery and providing valuable leads for future research in combating diabetes.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-19
- DOI
- https://doi.org/10.5281/zenodo.13955358
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00