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Determining functionally important amino acid residues of the E1 protein of Venezuelan equine encephalitis virus
Authors:Surendra S. Negi  Andrey A. Kolokoltsov  Catherine H. Schein  Robert A. Davey  Werner Braun
Affiliation:(1) Sealy Center for Structural Biology, Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555-0857, USA;(2) Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555-1075, USA;(3) University of Texas Medical Branch, 2.134 Clay Hall, 0857, 301 University Boulevard, Galveston, TX 77555, USA
Abstract:A new method for predicting interacting residues in protein complexes, InterProSurf, was applied to the E1 envelope protein of Venezuelan equine encephalitis (VEEV). Monomeric and trimeric models of VEEV-E1 were constructed with our MPACK program, using the crystal structure of the E1 protein of Semliki forest virus as a template. An alignment of the E1 sequences from representative alphavirus sequences was used to determine physical chemical property motifs (likely functional areas) with our PCPMer program. Information on residue variability, propensity to be in protein interfaces, and surface exposure on the model was combined to predict surface clusters likely to interact with other viral or cellular proteins. Mutagenesis of these clusters indicated that the predictions accurately detected areas crucial for virus infection. In addition to the fusion peptide area in domain 2, at least two other surface areas play an important role in virus infection. We propose that these may be sites of interaction between the E1–E1 and E1–E2 subdomains of the envelope proteins that are required to assemble the functional unit. The InterProSurf method is, thus, an important new tool for predicting viral protein interactions. These results can aid in the design of new vaccines against alphaviruses and other viruses.
Keywords:Venezuelan equine encephalitis virus (VEEV)  Alpha virus  Protein–  protein interaction  Envelope glycoprotein  Functional site prediction
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