<p>PASS prediction of the KTP and its degradants.</p>
by Protyoi Chakraborty·Updated 1mo ago
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Description
An in-silico investigation by Protyoi Chakraborty, uploaded to figshare in May 2026, examines the spectral, physicochemical, biological, and toxicological properties of two Nonsteroidal Anti-inflammatory drugs (NSAIDs) and their major degradants. Computational methods, including density functional theory, molecular docking, and MD simulation, were employed to analyze compounds like Ketoprofen (KTP) and Ibuprofen (IBP). The dataset includes results from ADMET and PASS predictions to compare biological and toxicological parameters.
Use Cases
Predicting carcinogenic, nephrotoxic, and hematotoxic properties of drug degradants based on PASS prediction results mentioned in the description.
Analyzing binding affinity and molecular interaction modes against the Cyclooxygenase-2 receptor based on molecular docking and MD simulation data.
Comparing HOMO-LUMO energy gaps and other spectral properties of compounds based on density functional theory calculations.