title: Solvent: A Framework for Protein Folding
summary: Consistency and reliability are crucial for conducting AI research. Many
  famous research fields, such as object detection, have been compared and
  validated with solid benchmark frameworks. After AlphaFold2, the protein
  folding task has entered a new phase, and many methods are proposed based on
  the component of AlphaFold2. The importance of a unified research framework in
  protein folding contains implementations and benchmarks to consistently and
  fairly compare various approaches. To achieve this, we present Solvent, an
  protein folding framework that supports significant components of
  state-of-th-arts models in the manner of off-the-shelf interface Solvent
  contains different models implemented in a unified codebase and supports
  training and evaluation for defined models on the same dataset. We benchmark
  well-known algorithms and their components and provide experiments that give
  helpful insights into the protein structure modeling field. We hope that
  Solvent will increase the reliability and consistency of proposed models and
  gives efficiency in both speed and costs, resulting in acceleration on protein
  folding modeling research. The code is available at
  https://github.com/kakaobrain/solvent, and the project will continue to be
  developed.
paper_authors._id: 64ace60e714bad736d3d5095
paper_authors.name: Jaemyung Lee
paper_authors._id: 64ace60e714bad736d3d5096
paper_authors.name: Jaehoon Kim
paper_authors._id: 64ace60e714bad736d3d5097
paper_authors.name: Hasun Yu
paper_authors._id: 64ace60e714bad736d3d5098
paper_authors.name: Youhan Lee
paper_title: Solvent: A Framework for Protein Folding
paper_summary: Consistency and reliability are crucial for conducting AI research. Many
  famous research fields, such as object detection, have been compared and
  validated with solid benchmark frameworks. After AlphaFold2, the protein
  folding task has entered a new phase, and many methods are proposed based on
  the component of AlphaFold2. The importance of a unified research framework in
  protein folding contains implementations and benchmarks to consistently and
  fairly compare various approaches. To achieve this, we present Solvent, an
  protein folding framework that supports significant components of
  state-of-th-arts models in the manner of off-the-shelf interface Solvent
  contains different models implemented in a unified codebase and supports
  training and evaluation for defined models on the same dataset. We benchmark
  well-known algorithms and their components and provide experiments that give
  helpful insights into the protein structure modeling field. We hope that
  Solvent will increase the reliability and consistency of proposed models and
  gives efficiency in both speed and costs, resulting in acceleration on protein
  folding modeling research. The code is available at
  https://github.com/kakaobrain/solvent, and the project will continue to be
  developed.
paper_ai_keywords: Solvent protein folding framework state-of-the-art models off-the-shelf interface unified codebase training and evaluation