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.

Ex Input:
We replaced the HIV-1 nucleocapsid (NC) domain with different N-coding sequences to test SARS-CoV nucleocapsid (N) self-interaction capacity, and determined the capabilities of each chimera to direct viruslike particle (VLP) assembly. Analysis results indicate that the replacement of NC with the carboxyl-terminal half of the SARS-CoV N resulted in the production of wild type (wt)-level virus-like particles (VLPs) with the density of a wt HIV-1 particle. When co-expressed with SARS-CoV N, chimeras containing the N carboxyl-terminal half sequence efficiently packaged N. However, the same was not true for the chimera bearing the N amino-terminal half sequence, despite its production of substantial amounts of VLPs. According to further analysis, HIV-1 NC replacement with N residues 2-213, 215-421, or 234-421 resulted in efficient VLP production at levels comparable to that of wt HIV-1, but replacement with residues 215-359, 302-421, 2-168, or 2-86 failed to restore VLP production to wildtype levels. The results suggest that the domain conferring the ability to direct VLP assembly and release in SARS-CoV N is largely contained between residues 168 and 421.

Ex Output:
Severe acute respiratory syndrome coronavirus nucleocapsid protein confers ability to efficiently produce virus-like particles when substituted for the human immunodeficiency virus nucleocapsid domain

Ex Input:
Background-The complement system is activated in liver diseases including acute liver failure (ALF); however, the role of the lectin pathway of complement has scarcely been investigated in ALF. The pathway is initiated by soluble pattern recognition molecules: mannan-binding lectin (MBL), M-, L-and H-ficolin and collectin-liver-1 (CL-L1), which are predominantly synthesised in the liver. Methods-Serum samples from 75 patients enrolled by the U.S. ALF Study Group were collected on days 1 and 3. We included 75 healthy blood donors and 20 cirrhosis patients as controls. Analyses were performed using sandwich-type immunoassays (ELISA, TRIFMA). Results-At day 1, the MBL level in ALF patients was 40% lower compared with healthy controls ((median(interquartile range) 0.72 g/ml(0.91) vs. 1.15(1.92)(p=0.02)), and increased significantly by day 3 (0.83 g/ml(0.94)(p=0.01)). The M-ficolin level was 60% lower (0.54 g/ ml(0.50) vs. 1.48(1.01)(p<0.0001)). The CL-L1 level at day 1 was slightly higher compared with healthy controls (3.20 g/ml(2.37) vs. 2.64(0.72)(p=0.11)); this was significant at day 3 (3.35(1.84)(p=0.006)). H-and L-ficolin levels were similar to healthy controls. Spontaneous ALF survivors had higher levels of MBL at day 1 (0.96 g/ml(1.15) vs. 0.60(0.60)(p=0.02)) and lower levels of L-ficolin by day 3 compared with patients who died or were transplanted (1.61 g/ ml(1.19) vs. 2.17(2.19)(p=0.02)).

Ex Output:
Circulating mannan-binding lectin, M-, L-, H-ficolin, and collectin-liver-1 levels in patients with acute liver failure

Ex Input:
Infectious diseases, especially when new and highly contagious, could be devastating producing epidemic outbreaks and pandemics. Predicting the outcomes of such events in relation to possible interventions is crucial for societal and healthcare planning and forecasting of resource needs. Deterministic and mechanistic models can capture the main known phenomena of epidemics while also allowing for a meaningful interpretation of results. In this work a deterministic mechanistic population balance model was developed. The model describes individuals in a population by infection stage and age group. The population is treated as in a close well mixed community with no migrations. Infection rates and clinical and epidemiological information govern the transitions between stages of the disease. The present model provides a steppingstone to build upon and its current low complexity retains accessibility to non experts and policy makers to comprehend the variables and phenomena at play.

Ex Output:
A mechanistic population balance model to evaluate the impact of interventions on infectious disease outbreaks: Case for COVID19