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: doi: bioRxiv preprint 65 required for the antiviral activity of both IFITM3 and IFITM1 [9]. The subcellular localization of 66 IFITMs is a key determinant of their antiviral profile. When expressed singly, IFITM3 and IFITM2 67 preferentially localize to early and late endosomes and lysosomes, and restrict viruses that enter via 68 these endo-lysosomal compartments. In contrast, IFITM1 primarily localizes at the cell surface and 69 can restrict viruses that enter through the plasma membrane [11-14]. Indeed, mutants of IFITM3 70 that lack an N-terminal endocytic sorting motif 20 YEML 23 localize to the plasma membrane and lose 71 their ability to inhibit influenza A virus (IAV), alphavirus and coronavirus infection by endosomal 72 routes [14-18]. 73 74 Studies focusing on IFITM3 restriction of IAV and Semliki Forest Virus (SFV) indicate that virus 75 internalization is unaffected by IFITM3 expression and, for SFV at least, the viral envelope 76 . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/737841 doi: bioRxiv preprint 109 knockout mice show enhanced morbidity after infection with IAV, alphaviruses and flaviviruses [33-110 .
Example Output: Comparative analysis reveals adaptive evolution of bat IFITMs and a novel 1 antiviral determinant

Example Input: Estimation of the fraction and contagiousness of undocumented novel coronavirus infections is critical for understanding the overall prevalence and pandemic potential of this disease. Many mild infections are typically not reported and, depending on their contagiousness, may support stealth transmission and the spread of documented infection. Here we use observations of reported infection and spread within China in conjunction with mobility data, a networked dynamic metapopulation model and Bayesian inference, to infer critical epidemiological characteristics associated with the emerging coronavirus, including the fraction of undocumented infections and their contagiousness. We estimate 86% of all infections were undocumented (95% CI: [82%-90%]) prior to the Wuhan travel shutdown (January 23, 2020). Per person, these undocumented . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not peer-reviewed) The copyright holder for this preprint .
Example Output: Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (COVID-19)

Example Input: Immunoglobulins (Igs), also called antibodies, are present in milk and colostrum of all lactating species. Igs are divided into classes having different physico-chemical structures and biological activities. The major Ig classes in bovine and human milk are IgA, IgG and IgM. Bovine colostral Igs provide the newborn calf with passive immune protection against microbial infections until the calf's own immune system matures. Colostral Ig preparations designed for farm animals have been commercially available for many years. Potential health benefi ts attributed to bovine colostrum have increased manufacture and marketing of colostral Ig-based dietary supplements also for human use. Furthermore, specifi c anti-microbial antibodies can be produced into colostrum by immunizing cows with vaccines made of pathogenic microorganisms. These antibodies can be concentrated and used to formulate so-called immune milk preparations. Such preparations have proven effective in prevention of animal and human infections caused, e.g. by rotavirus, Shigella fl exneri, Escherichia coli, Clostridium diffi cile, Streptococcus mutans, Cryptosporidium parvum and Helicobacter pylori. Their therapeutic effi cacy, however, seems limited. A few immune milk products have been commercialized and more can be expected in the future for use, e.g. as a supportive means in antibiotic treatments and for prevention of hospital infections.
Example Output:
Bovine milk immunoglobulins against microbial human diseases