In silico ADME prediction of designed pyrimidine derivatives for antiviral, antimalarial and anticancer potentials

Pyrimidine-based compounds are known for their wide-ranging pharmacological activities. In this study, three novel pyrimidine derivatives-SV02, SM02, and SC02-designed through QSAR and GQSAR analyses, were evaluated in silico using the SwissADME tool to predict their pharmacokinetic profiles. These compounds, selectively chosen based on significant descriptors, were screened for ADME properties, including physicochemical parameters, lipophilicity, solubility, drug-likeness, and medicinal chemistry alerts. SV02, intended as an antiviral agent, displayed moderate lipophilicity (Consensus Log Po/w=2.23), low gastrointestinal absorption, and a high topological polar surface area (TPSA=181.70 Ų). SM02, designed for antimalarial activity, demonstrated high GI absorption, good oral bioavailability, and compliance with all major drug-likeness filters. SC02, an anticancer candidate, showed moderate solubility, acceptable lipophilicity, and reasonable drug-likeness parameters. The results suggest that SM02 possesses the most favorable ADME profile, whereas SV02 and SC02 may require optimization for better permeability and absorption. These findings underscore the importance of in silico screening to predict pharmacokinetic behavior early in the drug development pipeline.

Authors

Publication Details

Journal
International Journal of Pharmaceutical Research and Development
Published
2025-01-01
DOI
https://doi.org/10.33545/26646862.2025.v7.i1g.154
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

In silico ADME prediction of designed pyrimidine derivatives for antiviral, antimalarial and anticancer potentials

Sushma Somkuwar, Neelesh Chaubey
1 citations
International Journal of Pharmaceutical Research and Development
Computational Drug Discovery Methods
1.50
article

In silico ADME prediction of designed pyrimidine derivatives for antiviral, antimalarial and anticancer potentials

Sushma Somkuwar, Neelesh Chaubey
article en
1 citations

Abstract

Pyrimidine-based compounds are known for their wide-ranging pharmacological activities. In this study, three novel pyrimidine derivatives-SV02, SM02, and SC02-designed through QSAR and GQSAR analyses, were evaluated in silico using the SwissADME tool to predict their pharmacokinetic profiles. These compounds, selectively chosen based on significant descriptors, were screened for ADME properties, including physicochemical parameters, lipophilicity, solubility, drug-likeness, and medicinal chemistry alerts. SV02, intended as an antiviral agent, displayed moderate lipophilicity (Consensus Log Po/w=2.23), low gastrointestinal absorption, and a high topological polar surface area (TPSA=181.70 Ų). SM02, designed for antimalarial activity, demonstrated high GI absorption, good oral bioavailability, and compliance with all major drug-likeness filters. SC02, an anticancer candidate, showed moderate solubility, acceptable lipophilicity, and reasonable drug-likeness parameters. The results suggest that SM02 possesses the most favorable ADME profile, whereas SV02 and SC02 may require optimization for better permeability and absorption. These findings underscore the importance of in silico screening to predict pharmacokinetic behavior early in the drug development pipeline.

International Journal of Pharmaceutical Research and DevelopmentVol. 7(1)
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.50
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In silico ADME prediction of designed pyrimidine derivatives for antiviral, antimalarial and anticancer potentials — Sushma Somkuwar, Neelesh Chaubey · International Journal of Pharmaceutical Research and Development (2025) | TGRS Research Map | TGRS