APA

Bacilieri M., Varano F., Deflorian F., Marini M., Catarzi D., Colotta V., Filacchioni G., Galli A., Costagli C., Kaseda C. & Moro S. (20071106). Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: design of new Gly/NMDA receptor antagonists as a key study. : Journal of chemical information and modeling.

Chicago

Bacilieri M, Varano F, Deflorian F, Marini M, Catarzi D, Colotta V, Filacchioni G, Galli A, Costagli C, Kaseda C and Moro S. 20071106. Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: design of new Gly/NMDA receptor antagonists as a key study. : Journal of chemical information and modeling.

Harvard

Bacilieri M., Varano F., Deflorian F., Marini M., Catarzi D., Colotta V., Filacchioni G., Galli A., Costagli C., Kaseda C. and Moro S. (20071106). Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: design of new Gly/NMDA receptor antagonists as a key study. : Journal of chemical information and modeling.

MLA

Bacilieri M, Varano F, Deflorian F, Marini M, Catarzi D, Colotta V, Filacchioni G, Galli A, Costagli C, Kaseda C and Moro S. Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: design of new Gly/NMDA receptor antagonists as a key study. : Journal of chemical information and modeling. 20071106.