id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
admet-2772	Venkataraman, Magesh ; Chand Rao, Gopi ; Madavareddi , Jeevan Karthik ; Maddi, Srinivas Rao	Leveraging machine learning models in evaluating ADMET properties for drug discovery and development: Review article	2026	39	.pdf	application/pdf	21365	1553	36	Commonly used AI/ML algorithms for developing ADMET prediction models Figure 3. Leveraging machine learning models in evaluating ADMET properties for drug discovery and development doi: https://doi.org/10.5599/admet.2772 1 ADMET & DMPK 13(3) (2025) 2772; doi: https://doi.org/10.5599/admet.2772 Open Access : ISSN : 1848-7718 http://www.pub.iapchem.org/ojs/index.php/admet/index Review Leveraging machine learning models in evaluating ADMET properties for drug discovery and development Magesh Venkataraman, Gopi Chand Rao, Jeevan Karthik Madavareddi and Srinivas Rao Maddi* Department of Pharmacology, Acubiosys Private Limited, Hyderabad, Telangana, India Corresponding Author: E-mail: *srinivasm@acubiosys.com Received: April 4, 2025; Revised: June 6, 2025; Published: June 7, 2025 Abstract Background and purpose: The evaluation of ADMET properties remains a critical bottleneck in drug discovery and development, contributing significantly to the high attrition rate of drug candidates.	cache/admet-2772.pdf	txt/admet-2772.txt