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Updated: Apr 19, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
CDvist: a webserver for identification and visualization of conserved domains in protein sequences
Ogun Adebali1, Davi R Ortega1, Igor B Zhulin1
1Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37861, USA and Department of Microbiology, University of Tennessee, Knoxville, TN 37996, USA Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37861, USA and Department of Microbiology, University of Tennessee, Knoxville, TN 37996, USA.
Summary:
Identification of domains in protein sequences allows their assigning to biological functions. Several webservers exist for identification of protein domains using similarity searches against various databases of protein domain models. However, none of them provides comprehensive domain coverage while allowing bulk querying and their visualization schemes can be improved. To address these issues, we developed CDvist (a comprehensive domain visualization tool), which combines the best available search algorithms and databases into a user-friendly framework. First, a given protein sequence is matched to domain models using high-specificity tools and only then unmatched segments are subjected to more sensitive algorithms resulting in a best possible comprehensive coverage. Bulk querying and rich visualization and download options provide improved functionality to domain architecture analysis.
Availability And Implementation:
Freely available on the web at http://cdvist.utk.edu
Contact:
oadebali@vols.utk.edu or ijouline@utk.edu.
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