Ranking predicted protein structures with support vector regression
By Jian Qiu, W. Sheffler, David Baker, William Stafford Noble. 2007
98 citations recorded by the source corpus.
Subfields: Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Jianlin Cheng
- Yang Zhang
- Arne Elofsson
- Jinbo Xu
- Debora Marks
- David T. Jones
- Björn Wallner
- Sheng Wang
Citations in the corpus
- Protein 3D Structure Computed from Evolutionary Sequence Variation (2011, methodology): “Internet servers have also facilitated the use of these new methods and allowed ongoing critical assessment of prediction accuracy [74,75].”
- How well can the accuracy of comparative protein structure models be predicted? (2008, background): “…model in a set of decoys that does not contain the native structure (Shortle et al. 1998; Wallner and Elofsson 2003; Eramian et al. 2006; Qiu et al. 2007), and (4) predicting the accuracy of a model in the absence of the native structure (Wallner and Elofsson 2003, 2006; Eramian et al.…”
- Machine Learning Methods for Protein Structure Prediction (2008, methodology): “Support vector machines have been used to rank protein models [91].”
- Using multiple templates to improve quality of homology models in automated homology modeling (2008, background): “In this light, other MQAPs, such as the most recent work of Qiu et al. (2007), are interesting.”
- 3D Protein Structure Predicted from Sequence (2011, unknown): “Internet servers have also facilitated the use of these new methods and allowed ongoing critical assessment of prediction accuracy [72,73].”