ET viewer: an application for predicting and visualizing functional sites in protein structures
- 31 May 2006
- journal article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 22 (16), 2049-2050
- https://doi.org/10.1093/bioinformatics/btl285
Abstract
The Evolutionary Trace Viewer (ETV) provides a one-stop environment in which to run, visualize and interpret Evolutionary Trace (ET) predictions of functional sites in protein structures. ETV is implemented using Java to run across different operating systems using Java Web Start technology. The ETV is available for download from our website at http://mammoth.bcm.tmc.edu/traceview/index.html. This webpage also links to sample trace results and a user manual that describes ET Viewer functions in detail.Keywords
This publication has 15 references indexed in Scilit:
- β-Arrestin-dependent, G Protein-independent ERK1/2 Activation by the β2 Adrenergic ReceptorJournal of Biological Chemistry, 2006
- A structure and evolution-guided Monte Carlo sequence selection strategy for multiple alignment-based analysis of proteinsBioinformatics, 2005
- Evolutionary Trace-based Peptides Identify a Novel Asymmetric Interaction That Mediates Oligomerization in Nuclear ReceptorsPublished by Elsevier ,2005
- Evolutionary Trace of G Protein-coupled Receptors Reveals Clusters of Residues That Determine Global and Class-specific FunctionsJournal of Biological Chemistry, 2004
- A Family of Evolution–Entropy Hybrid Methods for Ranking Protein Residues by ImportanceJournal of Molecular Biology, 2004
- Combining Inference from Evolution and Geometric Probability in Protein Structure EvaluationJournal of Molecular Biology, 2003
- An Accurate, Sensitive, and Scalable Method to Identify Functional Sites in Protein StructuresJournal of Molecular Biology, 2003
- Structural clusters of evolutionary trace residues are statistically significant and common in proteinsJournal of Molecular Biology, 2002
- An Evolutionary Trace Method Defines Binding Surfaces Common to Protein FamiliesJournal of Molecular Biology, 1996
- MOLMOL: A program for display and analysis of macromolecular structuresJournal of Molecular Graphics, 1996