Solvent: A Framework for Protein Folding
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.
64ace60e714bad736d3d5095
Jaemyung Lee
64ace60e714bad736d3d5096
Jaehoon Kim
64ace60e714bad736d3d5097
Hasun Yu
64ace60e714bad736d3d5098
Youhan Lee
Solvent: A Framework for Protein Folding
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.
Solvent is a unified protein folding framework that supports various state-of-the-art models, enabling consistent and fair comparisons in the protein structure modeling field.
protein folding AlphaFold2 unified research framework Solvent off-the-shelf interface benchmarking training evaluation protein structure modeling