Bacilieri, M <br/><br/>
Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: design of new Gly/NMDA receptor antagonists as a key study.  [electronic resource] 

 -  Journal of chemical information and modeling   
 - 1913-22 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1549-9596 
<br/><br/><label>Standard No.: </label>10.1021/ci7001846  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Artificial Intelligence<br/>Computational Biology<br/>Computer Simulation<br/>Drug Design<br/>Electrochemistry<br/>Excitatory Amino Acid Antagonists--chemistry<br/>Indicators and Reagents<br/>Least-Squares Analysis<br/>Linear Models<br/>Magnetic Resonance Spectroscopy<br/>Models, Chemical<br/>Models, Molecular<br/>Models, Statistical<br/>Nonlinear Dynamics<br/>Quantitative Structure-Activity Relationship<br/>Receptors, N-Methyl-D-Aspartate--antagonists & inhibitors