Increasing the efficiency and accuracy of the ABACUS protein sequence design method
Published 2019 View Full Article
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Title
Increasing the efficiency and accuracy of the ABACUS protein sequence design method
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-06-25
DOI
10.1093/bioinformatics/btz515
References
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Related references
Note: Only part of the references are listed.- TetraBASE: A Side Chain-Independent Statistical Energy for Designing Realistically Packed Protein Backbones
- (2018) Huanyu Chu et al. Journal of Chemical Information and Modeling
- SPIN2: Predicting sequence profiles from protein structures using deep neural networks
- (2018) James O'Connell et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Computational Protein Design with Deep Learning Neural Networks
- (2018) Jingxue Wang et al. Scientific Reports
- The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
- (2017) Rebecca F. Alford et al. Journal of Chemical Theory and Computation
- Sequence statistics of tertiary structural motifs reflect protein stability
- (2017) Fan Zheng et al. PLoS One
- Data driven flexible backbone protein design
- (2017) Mark G. F. Sun et al. PLoS Computational Biology
- Computational protein design for given backbone: recent progresses in general method-related aspects
- (2016) Haiyan Liu et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- An Atomistic Statistically Effective Energy Function for Computational Protein Design
- (2016) Christopher M. Topham et al. Journal of Chemical Theory and Computation
- Proteins of well-defined structures can be designed without backbone readjustment by a statistical model
- (2016) Xiaoqun Zhou et al. JOURNAL OF STRUCTURAL BIOLOGY
- The coming of age of de novo protein design
- (2016) Po-Ssu Huang et al. NATURE
- Prediction of Stable Globular Proteins Using Negative Design with Non-native Backbone Ensembles
- (2015) James A. Davey et al. STRUCTURE
- Protein design with a comprehensive statistical energy function and boosted by experimental selection for foldability
- (2014) Peng Xiong et al. Nature Communications
- Computational protein design: The proteus software and selected applications
- (2013) Thomas Simonson et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Improving the accuracy of protein stability predictions with multistate design using a variety of backbone ensembles
- (2013) James A. Davey et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Macromolecular NMR spectroscopy for the non-spectroscopist
- (2011) Ann H. Kwan et al. FEBS Journal
- Improved prediction of protein side-chain conformations with SCWRL4
- (2009) Georgii G. Krivov et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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