Dr. Yvonne Connolly Martin, Senior Research Fellow, Volwiler Society, Abbott Laboratories, and past Chair and current Advisory Board member of our Society, has been awarded this year's Accomplishment Award of The Society for Biomolecular Screening for her collection of MAO (monoamine oxidase) inhibitors that have been used by many investigators to develop and compare measures of molecular similarity and diversity. She was unable to be present to accept this honor during the 11th Annual SBS Conference & Exhibition in Geneva, Switzerland, September 11-15, 2005.

The Society for Biomolecular Screening Accomplishment Award consists of $1,000, recognition in the Journal of Biomolecular Screening, and a plaque. The Award is presented annually to an SBS member who has distinguished him/herself in advancing the art and science of drug discovery.

Dr. Martin's career of over 40 years has been centered on various aspects of computer assisted drug design at Abbott Laboratories. Her research interests include strategies for increasing the molecular diversity of compound collections and combinatorial libraries; to triage hits from HTS; to predict the potency, binding affinity, or ADME properties of small molecules from their molecular structures; and for the computer design of novel compounds including 3D database searching, de novo design, and pharmacophore mapping. 

Dr. Martin earned her undergraduate degree in chemistry and biology from Carleton College, Northfield, Minnesota. Her PhD degree in chemistry, focusing on physical biochemistry, is from Northwestern University, Evanston, Illinois.

An author or editor of three books and many technical articles and reviews, Dr. Martin has been recognized as a member of Phi Beta Kappa, an NIH pre-doctoral fellow, a AAAS fellow, an IUPAC fellow, as well as a lifetime member of the Molecular Graphics and Modelling Society. 

She currently serves as Editor of Perspectives in Drug Design and Discovery, Section Editor for QSAR: Annual Reports in Computational Chemistry, and on the editorial boards of the Journal of Computer-Aided Drug Design and QSAR & Combinatorial Science. She is also a member of the NIH Biodata Management and Analysis Study Section. 

The QSAR and Modelling Society congratulates Yvonne Martin on this well-deserved recognition.