PVS: a web server for protein sequence variability analysis tuned to facilitate conserved epitope discovery
- PMID: 18442995
- PMCID: PMC2447719
- DOI: 10.1093/nar/gkn211
PVS: a web server for protein sequence variability analysis tuned to facilitate conserved epitope discovery
Abstract
We have developed PVS (Protein Variability Server), a web-based tool that uses several variability metrics to compute the absolute site variability in multiple protein-sequence alignments (MSAs). The variability is then assigned to a user-selected reference sequence consisting of either the first sequence in the alignment or a consensus sequence. Subsequently, PVS performs tasks that are relevant for structure-function studies, such as plotting and visualizing the variability in a relevant 3D-structure. Neatly, PVS also implements some other tasks that are thought to facilitate the design of epitope discovery-driven vaccines against pathogens where sequence variability largely contributes to immune evasion. Thus, PVS can return the conserved fragments in the MSA-as defined by a user-provided variability threshold-and locate them in a relevant 3D-structure. Furthermore, PVS can return a variability-masked sequence, which can be directly submitted to the RANKPEP server for the prediction of conserved T-cell epitopes. PVS is freely available at: http://imed.med.ucm.es/PVS/.
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References
-
- Kimura M. The Neutral Theory of Molecular Evolution. Cambridge, pp. 34–55: Cambridge University Press; 1983.
-
- del Sol Mesa A, Pazos F, Valencia A. Automatic methods for predicting functionally important residues. J. Mol. Biol. 2003;326:1289–1302. - PubMed
-
- Hannenhalli SS, Russell RB. Analysis and prediction of functional sub-types from protein sequence alignments. J. Mol. Biol. 2000;303:61–76. - PubMed
-
- Lichtarge O, Bourne HR, Cohen FE. An evolutionary trace method defines binding surfaces common to protein families. J. Mol. Biol. 1996;257:342–358. - PubMed
-
- Madabushi S, Yao H, Marsh M, Kristensen DM, Philippi A, Sowa ME, Lichtarge O. Structural clusters of evolutionary trace residues are statistically significant and common in proteins. J. Mol. Biol. 2002;316:139–154. - PubMed
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