Substructure-based virtual screening for adenosine A2A receptor ligands.
A virtual ligand-based screening approach was designed and evaluated for the discovery of new A(2A) adenosine receptor (AR) ligands. For comparison and evaluation, the procedures from a recently published virtual screening study that used the A(2A) AR X-ray crystal structure for the target-based discovery of new A(2A) ligands were largely followed. Several screening models were constructed by deriving the distinguishing structural features from selected sets of A(2A) AR antagonists, so-called frequent substructure mining. The best model in statistical terms was subsequently applied to large-scale virtual screens of a commercial vendor library. This resulted in the selection of 36 candidates for acquisition and testing. Of the selected candidates, eight compounds significantly inhibited radioligand binding at A(2A) AR (>30%) at 10 μM, corresponding to a "hit rate" of 22%. This hit rate is quite similar to that of the referenced target-based virtual screening study, while both approaches yield new, non-overlapping sets of ligands.
Division of Medicinal Chemistry, Leiden/Amsterdam Center for Drug Research, P.O. Box 9502, 2300RA Leiden, The Netherlands.
Eelke
E
van der Horst
Rianne
R
van der Pijl
Thea
T
Mulder-Krieger
Andreas
A
Bender
Adriaan P
AP
Ijzerman
D058917:Adenosine A2 Receptor Antagonists / Q000138:chemical synthesis / Q000737:chemistry*; D004353:Drug Evaluation, Preclinical; D006801:Humans; D008024:Ligands; D011485:Protein Binding; D043705:Receptor, Adenosine A2A / Q000737:chemistry* / Q000378:metabolism; D012984:Software; D013329:Structure-Activity Relationship
D058917:Adenosine A2 Receptor Antagonists; D008024:Ligands; D043705:Receptor, Adenosine A2A