Plunder and Stowaways: Incorporation of Cellular Proteins by Enveloped Viruses
Bibliographic record
Abstract
To be successful and have the opportunity to replicate properly, a virus has to thwart or, just the reverse, boost many systems of the host cell. Given that host cells have evolved to eliminate these hostile parasites, a fierce battle ensues. There is now compelling evidence that enveloped virions released from infected cells will carry the vestiges of this battle both internally and externally. The focus of the present minireview will be the incorporation of the host cellular proteins into or onto the newly formed viruses. The roles of a few of these host cellular proteins have been studied, albeit very recently, because of their implication in the biology of some viruses. But for the vast majority, only the observation of their incorporation has been reported in the scientific literature. The various studies in this research area have been conducted with eukaryotic cells infected primarily with RNA enveloped viruses. Human immunodeficiency virus type 1 (HIV-1) has been the most extensively studied in this respect, but other viruses have also contributed to a better understanding of this intriguing phenomenon. A list of the molecules that have been reported to be embedded in some enveloped viruses is shown in Table Table1.1. The processes through which cellular proteins are acquired by viruses are still ill defined. Here we will describe and discuss the roles, or potential roles, that the major cellular proteins found associated with enveloped viruses may play in their life cycles. First, the internally associated host cell molecules will be described, and in a second section, the cell surface constituents found included within the envelopes of different viruses will be introduced. TABLE 1. Host cellular molecules acquired by some enveloped viruses
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".