Systems Biology & High Performance Computing

Jeffrey Skolnick, Professor and Director of the Center for the Study of Systems Biology discusses high performance computing as related to his research at Georgia Tech

Building MYRIAD, the new CSSB Supercomputer

Penguin Computing talks about building "MYRIAD" - a 10,000+ CPU core, 100 teraflop top 100 ranked supercomputer for CSSB.

However, much like being given a parts list of a car without an instruction manual, the sequence of the human genome provides a list of about 25,000 proteins (the molecular machines of life), the functions of more than half of which are unknown. Moreover, analyzing the individual parts tells one very little about their synergistic interactions. Systems Biology seeks to understand how the components of complex living systems interact and give rise to life and how their malfunction causes disease.

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Georgia Tech To Develop Tools To Improve Drug Efficacy
The National Institutes of Health has awarded College of Sciences’ Jeffrey Skolnick a $2.44M grant over five years. The Mary and Maisie Gibson Chaired professor in the School of Biology and a Georgia Research Alliance Eminent Scholar in Computational Systems Biology, Skolnick aims to develop tools to comprehensively annotate the parts of the human genome that are translated into proteins, known as the exome. Ultimately, the goal is to predict other uses of drugs already approved by the Federal Drug Administration (FDA) and thus accelerate the treatment of patients with intractable diseases.


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Extraterrestrial Life May Be Ubiquitous, Georgia Tech Research Suggests
Jeffrey Skolnick and coworkers at the Georgia Tech School of Biology have shown that the ability to catalyze biochemical reactions is an intrinsic property of protein molecules, defined only by their structure and the principles of chemistry and physics. Their study was published on Feb. 23, 2016, in the open-access journal F1000Research.


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Large-Scale Modeling Shows Confinement Effects on Cell Macromolecules
Using large-scale computer modeling, researchers have shown the effects of confinement on macromolecules inside cells – and taken the first steps toward simulating a living cell, a capability that could allow them to ask “what-if” questions impossible to ask in real organisms.
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