Biomedical Technology Resources
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National Biomedical Computation Resource

Rommie Amaro, Ph.D.
P41GM103426
Active

Center Overview

The mission of the National Biomedical Computation Resource (NBCR) is to conduct, catalyze, and enable biomedical research by harnessing forefront computational and information technologies to solve multiscale analysis challenges in basic and translational science. During our seventeen years NBCR has successfully exploited and led new technology developments in computing to benefit the biomedical research community, and bridged the gap between emerging information technologies and NIH funded science across diverse biomedical research areas. Current efforts focus on developing tools, simulation packages and flexible cyberinfrastructure, and are driven by three interdisciplinary biomedical applications:

  • patient-specific modeling in cardiovascular disease;
  • mesoscale subcellular imaging and modeling tools; and
  • developing a computer aided drug discovery pipeline.

Impact on Human Health

Underpinning NBCR's mission is the conviction that computational tools are increasingly important and in some cases uniquely capable for understanding human health and disease. Three trends have helped push forward the frontiers of our understanding: the availability of high-quality three-dimensional structural data at multiple-scales of biological organization from molecule to whole body; the development of efficient new numerical tools for multi-scale multi-physics simulation of biological processes; and the availability of computational platforms powerful enough to enable translation from basic science to applications in clinical medicine and drug discovery.

Our resource has focused recently on two types of problems impacting human health: infectious and neglected tropical diseases through development of new approaches and the integration of tools to automate and speed the discovery of potential compounds to inhibit the diseases; patient-specific modeling of cardiovascular diseases such as congestive heart failure to improve diagnosis and treatment planning.