Author/Authors :
Yang, Xiang-Lin College of Chemistry and Chemical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China , Zhou, Yuan College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China , Liu, Xin-Ling College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, China
Abstract :
A series of structurally related 2,4-dioxopyrimidine-1-carboxamide derivatives as highly
potent inhibitors against acid ceramidase were subjected to hologram quantitative structureactivity
relationship (HQSAR) analysis. A training set containing 24 compounds served
to establish the HQSAR model. The best HQSAR model was generated using atoms, bond,
connectivity, donor and acceptor as fragment distinction and 3–6 as fragment size with six
components showing cross-validated q2 value of 0.834 and conventional r2 value of 0.965. The
model was then employed to predict the potency of test set compounds that were excluded
in the training set, and a good agreement between the experimental and predicted values was
observed exhibiting the powerful predictable capability of this model ( 2
pred r = 0.788 ). Atom
contribution maps indicate that the electron-withdrawing effects at position 5 of the uracil ring,
the preferential acyl substitution at N3 position and the substitution of eight-carbon alkyl chain
length at N1 position predominantly contribute to the inhibitory activity. Based upon these key
structural features derived from atom contribution maps, we have designed novel inhibitors of
acid ceramidase possessing better inhibitory activity
Keywords :
Acid ceramidase , Drug design , Inhibitors , Hologram QSAR