Modeling Symmetric Macromolecular Structures in Rosetta3

By Frank DiMaio, Andrew Leaver-Fay, Philip Bradley, David Baker, Ingemar André. 2011

210 citations recorded by the source corpus.

Symmetric protein assemblies play important roles in many biochemical processes. However, the large size of such systems is challenging for traditional structure modeling methods. This paper describes the implementation of a general framework for modeling arbitrary symmetric systems in Rosetta3. We describe the various types of symmetries relevant to the study of protein structure that may be modeled using Rosetta's symmetric framework. We then describe how this symmetric framework is efficiently implemented within Rosetta, which restricts the conformational search space by sampling only symmetric degrees of freedom, and explicitly simulates only a subset of the interacting monomers. Finally, we describe structure prediction and design applications that utilize the Rosetta3 symmetric modeling capabilities, and provide a guide to running simulations on symmetric systems.

Subfields: Materials Chemistry, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

  1. David Baker
  2. Jeffrey J. Gray
  3. Sergey Ovchinnikov
  4. Hahnbeom Park
  5. Frank DiMaio
  6. David E. Kim
  7. Yang Zhang
  8. Tanja Kortemme

In Molecular Biology

  1. David Baker
  2. Jeffrey J. Gray
  3. Sergey Ovchinnikov
  4. Hahnbeom Park
  5. Frank DiMaio
  6. David E. Kim
  7. Tanja Kortemme
  8. Yang Zhang

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