Group-based QSAR modeling of pyrimidine derivatives for antiviral, antimalarial, and anticancer activities
Year: 2025
Type: article
Abstract: Group-based quantitative structure-activity relationship (GQSAR) modeling was employed on three distinct series of twenty pyrimidine derivatives each for antiviral, antimalarial, and anticancer activities. Models were constructed based on 2D descriptors specific to individual substitution sites within the molecules (R1, R2, R3). For the antiviral series, the best model (r² = 0.923, q² = 0.783, pred_r² = 0.712, F = 59.4) incorporated descriptors R1_SLogP, R2_EState, and R3_Polarizability, indicating a strong role of hydrophobic and electronic properties. The antimalarial model (r² = 0.897, q² = 0.761, pred_r² = 0.685, F = 47.2) revealed significant influence from molecular refractivity and EState indices. The anticancer model (r² = 0.912, q² = 0.775, pred_r² = 0.695, F = 52.8) highlighted the importance of SlogP, ESI, and valence connectivity descriptors. Contribution charts and radar plots provided insights into the relative importance of descriptors, highlighting structural features critical to activity. The findings facilitate a deeper understanding of structure-activity relationships and provide a rational basis for designing improved pyrimidine-based therapeutics.
Authors: Sushma Somkuwar, Neelesh Chaubey
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411433423