In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

Input: Consider Input: Paragraph: Human coronavirus OC43 (HCoV-OC43) is a causative agent of the common cold. The nucleocapsid (N) protein, which is a major structural protein of CoVs, binds to the viral RNA genome to form the virion core and results in the formation of the ribonucleoprotein (RNP) complex. We have solved the crystal structure of the N-terminal domain of HCoV-OC43 N protein (N-NTD) (residues 58 to 195) to a resolution of 2.0Å. The HCoV-OC43 N-NTD is a single domain protein composed of a five-stranded -sheet core and a long extended loop, similar to that observed in the structures of N-NTDs from other coronaviruses. The positively charged loop of the HCoV-OC43 N-NTD contains a structurally well-conserved positively charged residue, R106. To assess the role of R106 in RNA binding, we undertook a series of site-directed mutagenesis experiments and docking simulations to characterize the interaction between R106 and RNA. The results show that R106 plays an important role in the interaction between the N protein and RNA. In addition, we showed that, in cells transfected with plasmids that encoded the mutant (R106A) N protein and infected with virus, the level of the matrix protein gene was decreased by 7-fold compared to cells that were transfected with the wild-type N protein. This finding suggests that R106, by enhancing binding of the N protein to viral RNA plays a critical role in the viral replication. The results also indicate that the strength of N protein/RNA interactions is critical for HCoV-OC43 replication. 
 Title: Crystal structure-based exploration of the important role of Arg106 in the RNA-binding domain of human coronavirus OC43 nucleocapsid protein NIH Public Access Author Manuscript

Output: True


Input: Consider Input: Paragraph: Newcastle disease (ND) is a contagious disease that affects most species of birds. Its causative pathogen, Newcastle disease virus (NDV), also exhibits considerable oncolytic activity against mammalian cancers. A better understanding of the pathogenesis of NDV will help us design efficient vaccines and novel anticancer strategies. GW3965, a widely used synthetic ligand of liver X receptor (LXR), induces the expression of LXRs and its downstream genes, including ATP-binding cassette transporter A1 (ABCA1). ABCA1 regulates cellular cholesterol homeostasis. Here, we found that GW3965 inhibited NDV infection in DF-1 cells. It also inhibited NF-jB activation and reduced the upregulation of proinflammatory cytokines induced by the infection. Further studies showed that GW3965 exerted its inhibitory effects on virus entry and replication. NDV infection increased the mRNA levels of several lipogenic genes but decreased the ABCA1 mRNA level. Overexpression of ABCA1 inhibited NDV infection and reduced the cholesterol content in DF-1 cells, but when the cholesterol was replenished, NDV infection was restored. GW3965 treatment prevented cholesterol accumulation in the perinuclear area of the infected cells. In summary, our studies suggest that GW3965 inhibits NDV infection, probably by affecting cholesterol homeostasis. 
 Title: The LXR ligand GW3965 inhibits Newcastle disease virus infection by affecting cholesterol homeostasis

Output: True


Input: Consider Input: Paragraph: We found that most EIPs had known interactions with other viruses. We also predicted ATP6V0C as a broad-spectrum essential host factor and validated its essentiality for EV71 infection in vitro. EIPs and their interacting proteins were more likely to be targets of anti-inflammatory and neurological drugs, indicating their potential to serve as host-oriented antiviral targets. Thus, we used a connectivity map to find drugs that inhibited EIP expression. We predicted tanespimycin as a candidate and demonstrated its antiviral efficiency in vitro. These findings provide the first systematic identification of EV71-host protein interactions, an analysis of EIP protein characteristics and a demonstration of their value in developing host-oriented antiviral therapies. Enterovirus 71 (EV71) of the Picornaviridae family is one of the predominant causes of human hand, foot, and mouth disease (HFMD), especially across the Asia-Pacific region 1 . Although HFMD caused by EV71 infection mostly leads to mild symptoms, the disease may be complicated by serious symptoms, such as poliomyelitis-like paralysis, encephalomyelitis, myocarditis and neonatal sepsis, resulting in severe and even fatal consequences in infections of children under 5 years of age 2-5 . In the absence of efficacious therapy for severe infections and preventive vaccines, outbreaks and recurrent EV71 epidemics are major threats to public health and cause widespread panic during epidemics 1-6 . The EV71 genome is a single-stranded positive RNA that is approximately 7.4 kb in size and contains three encoding regions: P1, P2, and P3. The P1 region encodes the four structural proteins (external VP1, VP2, and VP3 and internalized VP4), whereas the P2 and P3 regions encode the other seven non-structural proteins (2A, 2B, and 2C encoded by the P2 region, and 3A, 3B, 3C, and 3D encoded by the P3 region) 1 . Phylogenetic analysis of EV71 based on the VP1 gene divided this virus into three independent lineages designated A, B and C, of which genotypes B and C still circulate worldwide 7 . Here, we focused on EV71 genotype C, which continues to circulate throughout China. The rapid progress of systematic host-virus interaction research has provided new data for clinical applications and network-based models for virus infections 8 . To date, little progress has been made in virus infection therapies, such as Tamiflu, which is an influenza A virus self-protein neuraminidase-targeted drug. This limited progress has been attributed to the rapid mutation of viral genomes, which leads to virus-targeted drugs to lose effectiveness against new variants. Concomitant with the rapid progress in systematic attempts to collect host-virus physical interaction data, protein annotation with RNA interference (RNAi) data and other functional data, recently we have witnessed changes in the perspective of antiviral drug research 9 . Drugs targeting essential host factors for viruses may be broad-spectrum and mutant-insensitive. The common method to identify essential host factors for viruses is to knock down host genes and determine whether virus infection is controlled. However, this approach is not practical for every virus due to its low repeat rate and high cost. The virus-host protein-protein interactome also provides potential host targets for antiviral research. The yeast two-hybrid(Y2H) system was introduced twenty-five years ago and has been widely used to investigate protein-protein networks of model organisms and pathogens and hosts, such as bacteria, yeast, fruit flies, tumor viruses and hosts, and herpes viruses and hosts 10-12 . The huge interactome datasets obtained from genome-wide yeast two-hybrid screening have greatly facilitated the identification of crucial proteins that are considered druggable. But the wide distribution of host proteins that interact with viruses makes the selection of drugs targeting multiple host targets difficult. For enterovirus 71, neither genome-wide RNAi screening nor virus-host protein-protein interaction identification has been explored. Here, we constructed an EV71 protein interaction network, and by integrating public protein and drug databases, we verified the protein functions, explored their potentials in serving as drug targets and predicted anti-viral drugs (Fig. 1) . We identified interactions between EV71 proteins and host cellular proteins using a yeast two-hybrid (Y2H) screen to provide a network view of EV71 infection. A viral ORFeome was generated that included ORFs encoding all full-length mature proteins and several protein domains of EV71 BrCr. These bait sequences were cloned into fusion vectors with a GAL4 DNA binding domain. The bait constructs were screened against a human brain cDNA library using a highly stringent Y2H assay. Twenty-nine EV71-human protein interactions were identified. Analysis of the integrated EV71-human protein interaction network revealed the topological features of the EV71-interacting human proteins (EIPs) and the functional pathways related to EV71 infection. Through overlap analysis of EIPs and proteins with interactions or functional associations with other viruses, we found that ATP6V0C might be a broad-spectrum essential host factor and further validated its essentiality for EV71 infection in vitro. We then mapped EIPs to known drug targets; the related drug indications mainly covered EV71 infection-related symptoms, indicating the potential of EIPs to serve as host-directed antiviral targets. We used connectivity map resources to find drugs that inhibited EIPs and to help validate the value of EIPs as antiviral targets. The drug tanespimycin showed the most significant inhibition of EIP expression and significantly inhibited EV71 infection in vitro. 
 Title: Human enterovirus 71 protein interaction network prompts antiviral drug repositioning OPEN


Output: False