
This research group designs and applies new computational methods to study biomolecules in aqueous solution. Their particular focus is on four main areas:
The methods target one of the most challenging areas of computational biochemistry: the accurate atomic-level modeling of deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) and their interactions with metal ions. Systems of particular interest are the hammerhead ribosome, a small self-cleaving RNA catalyzed by bound Mg2+ ions. To study the reaction using accurate hybrid QM/MM methods, the group has proposed a new semi-empirical d-orbital specific reaction parameter Hamiltonian. Moreover, they introduced new quantum indices for macromolecular characterization using linear-scaling electronic structure methods applied to DNA and RNA systems. Finally, the group is performing density-functional calculations of electronic polarizabilities of biological molecules and secondary structural motifs in order to create a benchmark data set for the design of new polarizable force field models.
Vanessa Audette, Graduate Student Researcher
Timothy Giese, Graduate Student Researcher
Brent Gregersen, Graduate Student Researcher
Anguang Hu, Supercomputing Institute Research Scholar
Jill Johnson, Graduate Student Researcher
Jana Khandogin, Graduate Student Researcher
Xabier Lopez, Supercomputing Institute Research Scholar
Evelyn Mayaan, Graduate Student Researcher
Kwamgho Nam, Graduate Student Researcher
Peter Oman, Undergraduate Student Researcher
Kevin Range, Graduate Student Researcher
Helen Smagin, Undergraduate Student Researcher
Jack T. Surek, Graduate Student Researcher
Zeb Thomas, Staff
Sacha Zlatkova, Staff
This information is available in alternative formats upon request by
individuals with disabilities. Please send email to
alt-format@msi.umn.edu
or call 612-624-0528.
HOME
|
QUESTIONS |
FEEDBACK
Events |
Links |
People |
Programs |
Publications |
Support |
Welcome
|
|
URL: http:// |
|
| This page last modified on | ||
| Please direct questions or problems to help@msi.umn.edu | ||
|
Website related questions or problems should be directed to
webmaster@msi.umn.edu
The University of Minnesota Supercomputing Institute does not collect personal information on visitors to our website. For the University of Minnesota policy, see www.privacy.umn.edu. © 2002 by the Regents of the University of Minnesota |
||