Structure and expression of the herpes simplex virus type 2 glycoprotein gB gene.

The gene for glycoprotein gB2 of herpes simplex virus type 2 strain 333 was cloned, sequenced, and expressed in mammalian cells. The gB2 protein had an overall nucleotide and amino acid sequence homology of 86% with the cognate gB1 protein. However, of the 125 amino acid substitutions or deletions, only 12.5% were conservative replacements. These differences were clustered within an NH2-terminal region, a central region, and a COOH-terminal region, resulting in domains of near identity broken by small regions of marked divergence. Regions of greatest homology included a 90-amino-acid stretch starting at residue 484 and 39 amino acids spanning residues 835 to 873, which cover a rate-of-entry locus mapped to Ala-552 and a syn locus mapped to Arg-857, respectively, in gB1 by Bzik et al. (D. J. Bzik, B. A. Fox, N. A. DeLuca, and S. Person, Virology 133:301-314, 1984). Pellett et al. (P. E. Pellett, K. G. Kousoulas, L. Pereira, and B. Roizman, J. Virol. 53:243-253, 1985) mapped the mutations in three monoclonal antibody-resistant gB1 mutants between amino acids 273 and 443. These epitopes are included in a region of 98 residues identical between gB1 and gB2. The identity of this protein was verified by placing a truncated gene lacking the 303 carboxyl-terminal amino acids of gB2 into mammalian COS and CHO cells. Expression was demonstrated by immunofluorescence and radioimmunoprecipitation. This protein will be purified from the stable CHO cell lines and compared with gB1 for immunogenicity and protective efficacy in animal challenge models.     

<Emphasis Type="Italic">Scoredist</Emphasis>: A simple and robust protein sequence distance estimator

Background  

Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number of true substitutions given an observed alignment. So far, the most accurate protein distance estimators have looked for the optimal matrix in a series of transition probability matrices, e.g. the Dayhoff series. The evolutionary distance between two aligned sequences is here estimated as the evolutionary distance of the optimal matrix. The optimal matrix can be found either by an iterative search for the Maximum Likelihood matrix, or by integration to find the Expected Distance. As a consequence, these methods are more complex to implement and computationally heavier than correction-based methods. Another problem is that the result may vary substantially depending on the evolutionary model used for the matrices. An ideal distance estimator should produce consistent and accurate distances independent of the evolutionary model used.     

Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER

Background  

Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling are not fully known. In the present work we approached this by using two of the most popular HMM packages: SAM and HMMER. The programs' abilities to build models and score sequences were compared on a SCOP/Pfam based test set. The comparison was done separately for local and global HMM scoring.     

Cloning and characterization of a GABAA receptor gamma2 subunit variant

We have cloned a novel gamma-aminobutyric acid type A (GABAA) receptor gamma2 subunit variant named gamma2XL. gamma2XL contains an alternatively spliced exon, resulting in the addition of 40 amino acids to the N-terminal extracellular domain between Ser171 and Tyr172. We show that gamma2XL failed to localize to the cell surface when it was coexpressed with the alpha2 and beta1 subunits in human embryonic kidney 293 cells. Expression of gamma2XL in 293 cells suppressed GABAA receptor binding in a dose-dependent manner by preventing GABAA receptor cell-surface localization. We also generated a gamma2 mutant with Ser171 and Tyr172 converted to glycine and threonine, respectively. We demonstrate that this mutant has a significantly lower affinity for the alpha2 and beta1 subunits and failed to reach the cell surface when coexpressed with these subunits. Together, our results indicate that Ser171 and Tyr172 in the gamma2 subunit constitute a critical motif. When this motif is disrupted by insertion of the alternative exon, access of the gamma2 subunit to the cell surface is prevented.