Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules

Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules

Background/Objectives: Drug-Induced Kidney Injury (DIKI) presents a significant challenge in drug development, often leading to clinical-stage failures. The early prediction of DIKI risk can improve drug safety and development efficiency. Existing models tend to focus on physicochemical properties a...

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Bibliographic Details
Main Authors: Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy Yang, Satjit Brar, Eric McDuffie, Clifford Sachs
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Pharmaceuticals
Subjects:
off-target interactions
machine learning
artificial intelligence
cheminformatics
drug induced kidney injury
computational toxicology
Online Access:https://www.mdpi.com/1424-8247/17/11/1550
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