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Related Concept Videos

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
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Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Ribosome Profiling

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Practically useful: what the Rosetta protein modeling suite can do for you.

Kristian W Kaufmann1, Gordon H Lemmon, Samuel L Deluca

  • 1Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, USA.

Biochemistry
|March 19, 2010
PubMed
Summary

This review guides researchers in using the Rosetta software package for biochemical and biomedicinal studies. It covers protein structure prediction, molecular docking, and protein design with tutorials for common research problems.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • The Rosetta software package is a powerful tool for various biochemical and biomedicinal research tasks.
  • It was initially developed for de novo protein structure prediction and consistently performs well in assessments.
  • Rosetta has expanded its capabilities beyond structure prediction to include other critical areas of molecular biology.

Purpose of the Study:

  • To provide researchers with a comprehensive guide to utilizing the Rosetta software package.
  • To review common research problems addressed by Rosetta in biochemical and biomedicinal studies.
  • To offer tutorials illustrating basic Rosetta protocols for key applications.

Main Methods:

  • De novo protein structure prediction with high accuracy for small protein domains.
  • Molecular docking for predicting protein-protein interactions.
  • Homology modeling and structure determination from sparse experimental data (NMR, EPR).
  • Protein design, including novel structures, altered specificities, and stabilization.
  • Application to solving the X-ray crystallographic phase problem.

Main Results:

  • Rosetta achieves high accuracy in de novo structure prediction, with backbone RMSD better than 5.0 Å for domains <125 amino acids.
  • Demonstrated ability to predict structures with atomic-level accuracy (<2.5 Å).
  • Successful application in designing novel protein structures and engineering protein-protein and protein-DNA interactions.
  • Effectiveness in stabilizing proteins and protein complexes.
  • Recent success in resolving the X-ray crystallographic phase problem.

Conclusions:

  • Rosetta is a versatile and powerful software package applicable to a wide range of biochemical and biomedicinal research.
  • The provided tutorials enable researchers to effectively implement Rosetta for various tasks, from structure prediction to protein design.
  • Continued development and application of Rosetta are expected to drive significant advancements in molecular biology and drug discovery.