Scientific Supercomputing at the NIH
The Helix Systems group is responsible for the planning and management of high-performance computing systems specifically for the intramural NIH community. These systems include Helix, a multiprocessor shared-memory system for interactive use; Biowulf, a 6300+ processor Linux cluster; and Helixweb, which provides a number of scientific tools via the web. We provide access to a wide range of computational applications for molecular and structural biology, mathematical and graphical analysis, and other scientific fields.



Recent Publications Citing Helix and Biowulf:

Insights Into Crowding Effects on Protein Stability From a Coarse-Grained Model
VK Shen, J Cheung, JR Errington, TM Truskett
J. Biomech. Engg. 131(7) :0710002 (2009)

Optimized Molecular Dynamics Force Fields Applied to the Helix- Coil Transition of Polypeptides
Robert B Best, Gerhard Hummer
J. Phys. Chem B 113(26) :9004-9015 (2009)

Artificial reaction coordinate "tunneling" in free-energy calculations: The catalytic reaction of RNase H.
Edina Rosta, H. Lee Woodcock, Bernard R. Brooks, Gerhard Hummer
J. Comp. Chem. , published online 21 May (2009)

Predictor Correlation Impacts Machine Learning Algorithms: Implications for Genomic Studies
Kristin K. Nicodemus and James D. Malley
Bioinformatics , published online 21 May (2009)