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Related Concept Videos

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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.
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Related Experiment Video

Updated: Sep 8, 2025

Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function
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Accelerating Biomolecular Modeling with AtomWorks and RF3.

Nathaniel Corley1,2,3, Simon Mathis1,4, Rohith Krishna1,3

  • 1Institute for Protein Design, University of Washington, Seattle, 98105, Washington, USA.

Biorxiv : the Preprint Server for Biology
|August 20, 2025
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Summary
This summary is machine-generated.

AtomWorks is a new data framework accelerating open-source biomolecular machine learning. It enabled RosettaFold-3 (RF3), a protein structure prediction tool that rivals closed-source models.

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Area of Science:

  • Computational biology
  • Machine learning
  • Structural biology

Background:

  • Deep learning models have advanced biomolecular structure prediction.
  • Developing and training novel models for these tasks is challenging.
  • Existing open-source tools lag behind state-of-the-art closed-source alternatives.

Purpose of the Study:

  • To introduce AtomWorks, a versatile data framework for developing biomolecular foundation models.
  • To present RosettaFold-3 (RF3), a new structure prediction model trained using AtomWorks.
  • To enhance open-source capabilities in protein structure prediction and design.

Main Methods:

  • Development of the AtomWorks data framework for biomolecular machine learning.
  • Training of the RosettaFold-3 (RF3) model using AtomWorks on protein structure databases.
  • Incorporation of improved chirality treatment in RF3 for enhanced accuracy.

Main Results:

  • AtomWorks facilitates the development of diverse biomolecular foundation models.
  • RF3 demonstrates competitive performance in predicting arbitrary biomolecular complexes.
  • RF3 narrows the performance gap between leading closed-source (AlphaFold3) and open-source structure prediction tools.

Conclusions:

  • AtomWorks is expected to accelerate the development of next-generation open-source biomolecular models.
  • RF3 provides a powerful and broadly applicable open-source tool for structure prediction.
  • The AtomWorks framework and RF3 model are released under a permissive license to foster community development.