AI Tool Developed to Secure Drug Development Processes
Researchers from Kean University and the University of Salerno have created the open-source KidneyTox_v1.0 platform, which predicts the renal toxicity of drug candidates in advance.
Dr. Supratik Kar from Kean University, in collaboration with colleagues at the University of Salerno in Italy, has developed an artificial intelligence tool called KidneyTox_v1.0 that predicts whether potential drugs will cause kidney damage.
New AI-Based Platform
Dr. Supratik Kar, an assistant professor at Kean University, led the development of an innovative artificial intelligence tool that predicts the kidney toxicity of potential drugs.
This web-based, open-source platform named KidneyTox_v1.0 was brought to life in partnership with researchers from the University of Salerno in Italy.
Early Screening and Cost Advantage
Kidney toxicity is among the leading causes of failure for promising drug candidates during the development process.
This newly developed platform offers researchers the opportunity to identify safety concerns before costly laboratory and animal experiments begin.
Analysis of Chemical Structures
While traditional AI tools only state whether a molecule is toxic, this platform also explains which part of the chemical structure causes the toxicity.
Thanks to this transparency, researchers gain the chance to redesign problematic molecules before investing years of work and massive resources.
Dataset and Transparent Results
The model is built on a carefully curated dataset of 565 compounds consisting of FDA-approved small molecules.
To prevent users from blindly trusting the outcomes, the platform explains the rationale behind each result.
Future Goals and Open Source
Scientists around the world have already begun using this platform to evaluate compounds prior to experimental testing.
Researchers aim to create a comprehensive open-source system in the future that can assess all major organ toxicities with a single click.