NEW TOOLS AND EXPANDED DATA ANALYSIS CAPABILITIES AT THE PROTEIN STRUCTURE PREDICTION CENTER
By Andriy Kryshtafovych, Andreas Prlic, Zinoviy Dmytriv, Pawel Daniluk, Maciej Milostan, Volker A. Eyrich, Tim J. P. Hubbard, Krzysztof Fidelis. 2007
28 citations recorded by the source corpus.
We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java‐based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org. Proteins 2007. © 2007 Wiley‐Liss, Inc.
Subfields: Materials Chemistry, Molecular Biology, Spectroscopy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Michael Feig
- Vijay S. Pande
- Matthew P. Jacobson
- Michael J. Schnieders
- Pawel Daniluk
- Ken A. Dill
- Lan Hua
- Justin L. MacCallum
In Molecular Biology
- Ken A. Dill
- Michael Feig
- Vijay S. Pande
- Matthew P. Jacobson
- Michael J. Schnieders
- Pawel Daniluk
- Lan Hua
- Justin L. MacCallum
In Spectroscopy
Citations in the corpus
- Assessment of the protein-structure refinement category in CASP8 (2009, methodology): “Two of the metrics are calculated by the prediction center 18 : GDT-TS 1 and GDT-HA, 19 which are the standard alpha-carbon-based metrics used extensively in previous CASPs.”
- A novel method to compare protein structures using local descriptors (2011, methodology): “This mode is especially useful for comparing models of the same protein in structure prediction applications [29,30].”