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.

Example Input: Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture-mark-recapture (CMR) data from a species of Australian bat (Myotis macropus) infected with a putative novel Alphacoronavirus within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.
Example Output: Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Example Input: The coronavirus (CoV) responsible for severe acute respiratory syndrome (SARS), SARS-CoV, encodes two large polyproteins (pp1a and pp1ab) that are processed by two viral proteases to yield mature non-structural proteins (nsps). Many of these nsps have essential roles in viral replication, but several have no assigned function and possess amino acid sequences that are unique to the CoV family. One such protein is SARS-CoV nsp1, which is processed from the N-terminus of both pp1a and pp1ab. The mature SARS-CoV protein is present in cells several hours post-infection and co-localizes to the viral replication complex, but its function in the viral life cycle remains unknown. Furthermore, nsp1 sequences are highly divergent across the CoV family, and it has been suggested that this is due to nsp1 possessing a function speciWc to viral interactions with its host cell or acting as a host speciWc virulence factor. In order to initiate structural and biophysical studies of SARS-CoV nsp1, a recombinant expression system and a puriWcation protocol have been developed, yielding milligram quantities of highly puriWed SARS-CoV nsp1. The puriWed protein was characterized using circular dichroism, size exclusion chromatography, and multi-angle light scattering.
Example Output: Expression, puriWcation and characterization of recombinant severe acute respiratory syndrome coronavirus non-structural protein 1

Example Input: Methods: Using surface-enhanced laser desorption/ionization (SELDI) ProteinChip technology, we profiled and compared serum proteins of 39 patients with earlystage SARS infection and 39 non-SARS patients who were suspected cases during the SARS outbreak period. Proteomic patterns associated with SARS were identified by bioinformatic and biostatistical analyses. Features of interest were then purified and identified by tandem mass spectrometry. Results: Twenty proteomic features were significantly different between the 2 groups. Fifteen were increased in the SARS group, and 5 were decreased. Their concentrations were correlated with 2 or more clinical and/or biochemical variables. Two were correlated with the SARS-CoV viral load. Hierarchical clustering analysis showed that a majority of the SARS patients (95%) had similar serum proteomic profiles and identified 2 subgroups with poor prognosis. ROC curve analysis identified individual features as potential biomarkers for SARS diagnosis (areas under ROC curves, 0.733-0.995). ROC curve areas were largest for an N-terminal fragment of complement C3c chain (m/z 28 119) and an internal fragment of fibrinogen -E chain (m/z 5908). Conclusions: Specific proteomic fingerprints in the sera of adult SARS patients could be used to identify SARS cases early during onset with high specificity and sensitivity.
Example Output:
Serum Proteomic Fingerprints of Adult Patients with Severe Acute Respiratory Syndrome