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Related Concept Videos

Ribozymes02:47

Ribozymes

The term ribozyme is used for RNA that can act as an enzyme. Ribozymes are mainly found in selected viruses, bacteria, plant organelles, and lower eukaryotes. Ribozymes were first discovered in 1982 when Tom Cech’s laboratory observed Group I introns acting as enzymes. This was shortly followed by the discovery of another ribozyme, Ribonulcease P, by Sid Altman’s laboratory. Both Cech and Altman received the Nobel Prize in chemistry in 1989 for their work on ribozymes.
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Ligand Binding and Linkage

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Related Experiment Video

Updated: May 31, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

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Published on: July 8, 2025

RosettaScripts: a scripting language interface to the Rosetta macromolecular modeling suite.

Sarel J Fleishman1, Andrew Leaver-Fay, Jacob E Corn

  • 1Department of Biochemistry, University of Washington, Seattle, Washington, United States of America. sarelf@uw.edu

Plos One
|July 7, 2011
PubMed
Summary
This summary is machine-generated.

RosettaScripts, a user-friendly framework, enhances macromolecular modeling and design. It enables non-experts to access advanced computational tools for protein engineering and drug discovery without coding expertise.

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Area of Science:

  • Computational biology
  • Structural biology
  • Biotechnology

Background:

  • Macromolecular modeling and design are vital in research and biotechnology.
  • Limited user-friendly tools hinder computational method adoption by non-experts.
  • Existing frameworks often require C++ programming for protocol customization.

Purpose of the Study:

  • To introduce RosettaScripts as an accessible framework for macromolecular modeling and design.
  • To demonstrate the versatility of RosettaScripts in various protein engineering tasks.
  • To lower the barrier for non-expert users in computational biology.

Main Methods:

  • Development of RosettaScripts, an XML-like scripting language for the Rosetta framework.
  • Implementation of protocol-level functionalities accessible via scripts.
  • Demonstration through diverse applications including protein stabilization and ligand docking.

Main Results:

  • RosettaScripts provides access to advanced modeling capabilities like docking and redesign.
  • Complex protocols can be rapidly tested and deployed without C++ code modification.
  • Successful application in protein stabilization, library generation, and specificity redesign.

Conclusions:

  • RosettaScripts significantly enhances the accessibility and application of macromolecular modeling.
  • The framework empowers non-experts to perform sophisticated computational design tasks.
  • Facilitates advancements in protein engineering, drug discovery, and biotechnology.