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.

What is Systems Biology?

Recognized by most experts in the field as the future of biology, Systems Biology seeks to understand how complex living systems interact with each other so that we can diagnose and treat disorders such as cancer. While past biological research has taught us much about how these individual biological units are structured and function, future biology will be focused on understanding how these units interact.

Vision of the Center for the Study of Systems Biology

With the completion of the sequencing of the human genome, the possibility exists to unlock the secrets of life and with such understanding, powerful new approaches to the treatment of disease will emerge.

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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.

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.
Featured on NSF Science 360 NEWS and Scientific Computing

From an SNP to a Disease: A Comprehensive Statistical Analysis
Understanding and linking at the molecular level a disease phenotype to a specific genotype often requires going through a protein structure and function. In this issue of Structure, Gao et al. (2015) perform large scale analysis of available sequences and structural data for more than 6000 mutants representing more than 600 proteins to uncover some interesting structural effects of disease-associated mutations.

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