In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Input: Consider Input: Background: Members of the Baculoviridae encode two types of proteins that mediate virus:cell membrane fusion and penetration into the host cell. Alignments of primary amino acid sequences indicate that baculovirus fusion proteins of group I nucleopolyhedroviruses (NPV) form the GP64 superfamily. The structure of these viral penetrenes has not been determined. The GP64 superfamily includes the glycoprotein (GP) encoded by members of the Thogotovirus genus of the Orthomyxoviridae. The entry proteins of other baculoviruses, group II NPV and granuloviruses, are class I penetrenes. Results: Class III penetrenes encoded by members of the Rhabdoviridae and Herpesviridae have an internal fusion domain comprised of beta sheets, other beta sheet domains, an extended alpha helical domain, a membrane proximal stem domain and a carboxyl terminal anchor. Similar sequences and structural/functional motifs that characterize class III penetrenes are located collinearly in GP64 of group I baculoviruses and related glycoproteins encoded by thogotoviruses. Structural models based on a prototypic class III penetrene, vesicular stomatitis virus glycoprotein (VSV G), were established for Thogoto virus (THOV) GP and Autographa california multiple NPV (AcMNPV) GP64 demonstrating feasible cysteine linkages. Glycosylation sites in THOV GP and AcMNPV GP64 appear in similar model locations to the two glycosylation sites of VSV G. These results suggest that proteins in the GP64 superfamily are class III penetrenes.

Output: Virology Journal Proteomics computational analyses suggest that baculovirus GP64 superfamily proteins are class III penetrenes

Input: Consider Input: The immunostimulatory effects of oligodeoxyribonucleotides (ODN) containing unmethylated CpG dinucleotides (CpG-ODN) in certain base contexts have been extensively studied in man and mice. One major action is their ability to trigger production of massive amounts of interferon-a (IFN-a) by plasmacytoid dendritic cells (PDC), also referred to as natural IFN-a/b producing cells (NIPC). The present study using porcine PBMC activated by CpG-ODN or plasmid DNA revealed a considerable variation in the IFN-a production in response to various CpG-ODN constructs. Several phosphodiester ODNs, such as 5 0 TTTTCAATTCGAAGATGAAT 3 0 (ODN H), and the plasmid pcDNA3 all required pre-incubation with lipofectin in order to induce IFN-a. Intact unmethylated CpGs were also important, because methylation or substitution of the cytosines and CpG-inversion strongly reduced the IFN-a induction by single-or double-stranded forms of ODN H. Certain CpG-ODNs that contained flanking phosphorothioate or phosphodiester poly-G sequences were potent inducers of IFN-a without pre-incubation with lipofectin, for instance the ODN 2216 (5 0 GGGGGACGATCGTCGGGGGG 3 0 ). While poly-G sequences have been suggested to increase uptake of ODNs by cells, they did not obviate the need for lipofectin when added to the ODN H. However, they resulted in up to five-fold increases of the IFN-a levels caused by ODN H upon lipofection, indicating other enhancing effects of poly-G sequences on the induction of IFN-a. The identity of the IFN-a producing cells (IPC) stimulated by CpG-ODN or plasmid DNA was studied by means of flow cytometry using combined staining for intracellular IFN-a and surface markers. Approximately 1-3 IPC/10 3 PBMC were detected, compared to only 3 IPC/10 4 PBMC stimulated by Aujeszky's disease virus. The IPC frequencies were confirmed by detection of IFN-a mRNA positive cells by in situ hybridisation. The IPC induced by CpG-ODN or plasmid DNA had a similar phenotype, expressing CD2 and CD4 and intermediate levels of MHC class II and the myeloid marker SWC3, but not the markers of T and B cells or

Output: Characteristics of oligodeoxyribonucleotides that induce interferon (IFN)-a in the pig and the phenotype of the IFN-a producing cells monocytes (CD3, CD21 and CD14)

Input: Consider Input: For many infectious disease processes such as emerging zoonoses and vaccine-preventable diseases, 0vR 0 v1 and infections occur as self-limited stuttering transmission chains. A mechanistic understanding of transmission is essential for characterizing the risk of emerging diseases and monitoring spatio-temporal dynamics. Thus methods for inferring R 0 and the degree of heterogeneity in transmission from stuttering chain data have important applications in disease surveillance and management. Previous researchers have used chain size distributions to infer R 0 , but estimation of the degree of individual-level variation in infectiousness (as quantified by the dispersion parameter, k) has typically required contact tracing data. Utilizing branching process theory along with a negative binomial offspring distribution, we demonstrate how maximum likelihood estimation can be applied to chain size data to infer both R 0 and the dispersion parameter that characterizes heterogeneity. While the maximum likelihood value for R 0 is a simple function of the average chain size, the associated confidence intervals are dependent on the inferred degree of transmission heterogeneity. As demonstrated for monkeypox data from the Democratic Republic of Congo, this impacts when a statistically significant change in R 0 is detectable. In addition, by allowing for superspreading events, inference of k shifts the threshold above which a transmission chain should be considered anomalously large for a given value of R 0 (thus reducing the probability of false alarms about pathogen adaptation). Our analysis of monkeypox also clarifies the various ways that imperfect observation can impact inference of transmission parameters, and highlights the need to quantitatively evaluate whether observation is likely to significantly bias results.
Output: Inference of R 0 and Transmission Heterogeneity from the Size Distribution of Stuttering Chains