OPUS-Fold3: a gradient-based protein all-atom folding and docking framework on TensorFlow
Published 2023 View Full Article
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Title
OPUS-Fold3: a gradient-based protein all-atom folding and docking framework on TensorFlow
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume 24, Issue 6, Pages -
Publisher
Oxford University Press (OUP)
Online
2023-10-14
DOI
10.1093/bib/bbad365
References
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Related references
Note: Only part of the references are listed.- Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions
- (2023) Nabin Giri et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
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- OPUS-X: An Open-Source Toolkit for Protein Torsion Angles, Secondary Structure, Solvent Accessibility, Contact Map Predictions, and 3D Folding
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- pyconsFold: a fast and easy tool for modeling and docking using distance predictions
- (2021) J Lamb et al. BIOINFORMATICS
- Highly accurate protein structure prediction with AlphaFold
- (2021) John Jumper et al. NATURE
- Improved protein structure prediction using predicted interresidue orientations
- (2020) Jianyi Yang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling
- (2020) Gang Xu et al. Journal of Chemical Theory and Computation
- OPUS-Rota3: Improving Protein Side-Chain Modeling by Deep Neural Networks and Ensemble Methods
- (2020) Gang Xu et al. Journal of Chemical Information and Modeling
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix
- (2019) Dorothee Liebschner et al. Acta Crystallographica Section D-Structural Biology
- EvoEF2: accurate and fast energy function for computational protein design
- (2019) Xiaoqiang Huang et al. BIOINFORMATICS
- Assessment of structural features in Cryo-EM density maps using SSE and side chain Z-scores
- (2018) Grigore Pintilie et al. JOURNAL OF STRUCTURAL BIOLOGY
- Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12
- (2017) Jürgen Haas et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- (2017) Sheng Wang et al. PLoS Computational Biology
- CONFOLD: Residue-residue contact-guidedab initioprotein folding
- (2015) Badri Adhikari et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- EM-Fold: De Novo Atomic-Detail Protein Structure Determination from Medium-Resolution Density Maps
- (2012) Steffen Lindert et al. STRUCTURE
- PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta
- (2010) S. Chaudhury et al. BIOINFORMATICS
- Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction
- (2002) Hongyi Zhou et al. PROTEIN SCIENCE
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