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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"Why not consider a spherical protein? Implications for backbone hydrogen bonding for protein structure and function."
INSIDE COVER: Physical Chemistry Chemical Physics.

Abstract: The intrinsic ability of protein structures to exhibit the geometric features required for molecular function in the absence of evolution is examined in the context of three systems: the reference set of real, single domain protein structures, a library of computationally generated, compact homopolypeptides, artificial structures with protein-like secondary structural elements, and quasi-spherical random proteins packed at the same density as proteins but lacking backbone secondary structure and hydrogen bonding. Without any evolutionary selection, the library of artificial structures has similar backbone hydrogen bonding, global shape, surface to volume ratio and statistically significant structural matches to real protein global structures. Moreover, these artificial structures have native like ligand binding cavities, and a tiny subset has interfacial geometries consistent with native-like protein–protein interactions and DNA binding. In contrast, the quasi-spherical random proteins, being devoid of secondary structure, have a lower surface to volume ratio and lack ligand binding pockets and intermolecular interaction interfaces. Surprisingly, these quasi-spherical random proteins exhibit protein like distributions of virtual bond angles and almost all have a statistically significant structural match to real protein structures. This implies that it is local chain stiffness, even without backbone hydrogen bonding, and compactness that give rise to the likely completeness of the library solved single domain protein structures. These studies also suggest that the packing of secondary structural elements generates the requisite geometry for intermolecular binding. Thus, backbone hydrogen bonding plays an important role not only in protein structure but also in protein function. Such ability to bind biological molecules is an inherent feature of protein structure; if combined with appropriate protein sequences, it could provide the non-zero background probability for low-level function that evolution requires for selection to occur.

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New Study Classifies and Analyzes Protein-Protein Interfaces
Interactions between proteins are at the heart of cellular processes, and those interactions depend on the interfaces where the direct physical contact occurs. A new study published this week suggests that there may be roughly a thousand structurally-distinct protein-protein interfaces -- and that their structures depend largely on the simple physics of the proteins.

(HPCwire.com, May 25th, 2010) Penguin Computing, experts in high performance computing (HPC) solutions, today announced that it has built one of the world's largest supercomputers for the Center for the Study of Systems Biology at the Georgia Institute of Technology (Georgia Tech), one of the leading research universities in the U.S. Ranking within the top 100 supercomputers in the world, Georgia Tech's massive MYRIAD cluster comprises over 10,000 CPU cores with a 100 TFLOP (teraflop) theoretical maximum performance.
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