Computer-Assisted Prediction of Drug-Like Properties of Selected Phytochemicals from Terminalia chebula
Year: 2025
Type: article
Abstract: Introduction The growing focus on natural products in drug discovery has led to a deeper investigation of phytochemicals from traditional medicinal plants. Terminalia chebula, known for its broad range of therapeutic uses, is a rich source of bioactive compounds. Materials and Methods This study employs computer-aided techniques to predict the drug-like properties of selected phytochemicals from Terminalia chebula. By utilizing sophisticated computational tools, we assessed crucial drug-like features such as adherence to Lipinski’s Rule of Five. The results reveal that several phytochemicals from Terminalia chebula exhibit promising drug-like qualities, including good bioavailability and minimal toxicity. Results and Discussion This study highlights the potential of Terminalia chebula’s phytochemicals as strong candidates for drug development and establishes a basis for further experimental research and refinement. The use of computational approaches in evaluating natural products underscores their crucial role in contemporary drug discovery.
Authors: Adarsh Arun Patil, Shailendra Sanjay Suryawanshi
Institution: KLE Academy of Higher Education and Research
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407616582