Public Relations Contact:
 
Alicia Althoff
Marketing Communications Coordinator
alicia@strubix.com

Structural Bioinformatics, Inc.
10929 Technology Place
San Diego CA 92127
Telephone: (858) 675-2400 ext. 119
Facsimile: (858) 618-1041
 
http://www.strubix.com/

 
STRUCTURAL BIOINFORMATICS INC. APPOINTS
BOHR, BOHR, AND BRUNAK TO ITS SCIENTIFIC ADVISORY BOARD
 

 SAN DIEGO, CA - November 25, 1997 - Privately held Structural Bioinformatics Inc. ("SBI"), San Diego has appointed Dr. Jakob Bohr, Dr. Henrik G. Bohr and Dr. Soren Brunak to their Scientific Advisory Board. Drs. Bohr, Bohr, and Brunak are elucidating novel concepts relating to molecular wring resonances in protein chains and furthering their theoretical and experimental developments on these and certain other novel concepts for application to computational analysis and prediction of protein folding.

Dr. Jakob Bohr is Professor in Physics at The Technical University of Denmark and the University of Copenhagen. He was the 1985 co-winner of the Award for Outstanding Scientific Accomplishment in the category of solid state physics in the United States Department of Energy's Annual Material Sciences Research Competition, and winner of the 1993 Villum Kann Rasmussen's Award for technical research.

Dr. Henrik G. Bohr is a Professor in the Department of Physics at The Technical University of Denmark, and has served as visiting professor internationally in the U.K., Germany, and the U.S.  His field of expertise includes application of theoretical physics and mathematics to protein folding and structure prediction.

Professor Soren Brunak is the Director of the Center for Biological Sequence Analysis at The Technical University of Denmark.  His laboratory focuses on the area of neural networks and protein structure prediction.  He has written and edited six books on bioinformatics, machine learning, and protein folding, and his current research is focused on computational analysis of the structure and function of macromolecules, mainly addressed by novel adaptive computational methods, such as data driven artificial neural networks and hidden Markov models.