Autocorrelation of molecular electrostatic potential surface properties combined with partial least squares analysis as new strategy for the prediction of the activity of human A(3) adenosine receptor antagonists.
The combination of molecular electrostatic potential (MEP) surface properties (autocorrelation vectors) with the conventional partial least squares (PLS) analysis has been used for the prediction of the human A(3) receptor antagonist activities. Three-hundred-fifty-eight structurally diverse human A(3) receptor antagonists have been utilized to generate a novel ligand-based three-dimensional structure-activity relationship. Remarkably, our chemical library includes all 21 important chemical classes of human A(3) antagonists currently discovered, and it represents the largest molecular collection used to generate a general human A(3) antagonist structure-activity relationship. A robust quantitative model has been obtained as described by both cross-validated correlation coefficient (r(cv) = 0.81) and prediction capability (r(pred) = 0.82). The proposed MEP/PLS approach can be considered as an alternative hit identification tool in virtual screening applications.
Moro
Stefano
S
Molecular Modeling Section, Dipartimento di Scienze Farmaceutiche, Università di Padova, via Marzolo 5, I-35131 Padova, Italy. stefano.moro@unipd.it
Bacilieri
Magdalena
M
Cacciari
Barbara
B
Spalluto
Giampiero
G
D058918:Adenosine A3 Receptor Antagonists; D001665:Binding Sites; D016208:Databases, Factual; D006801:Humans; D016018:Least-Squares Analysis; D008024:Ligands; D008958:Models, Molecular; D021281:Quantitative Structure-Activity Relationship; D043684:Receptor, Adenosine A3 / Q000737:chemistry*; D055672:Static Electricity; D013499:Surface Properties
D058918:Adenosine A3 Receptor Antagonists; D008024:Ligands; D043684:Receptor, Adenosine A3