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".

Q: Paragraph: Rapid diagnosis of adenoviral respiratory infections is required in order to decide optimal treatment strategies. The adenovirus antigen immunochromatography Adeno Respiratory Card Letitest (Leti diagnostics, Barcelona, Spain), was evaluated versus the shell-vial culture and multiplex PCR (Clart Pneumovir Version 3.0, Genomica, Madrid, Spain), in nasopharyngeal washes and oropharyngeal swabs specimens from subjects with respiratory tract infections. Between April 2011 and November 2012, 224 patients were included. The IC Adeno Respiratory Card Letitest was positive for 77.9% (74 of 95) of patients diagnosed at bedside. Using multiplex-PCR as the reference standard, the overall sensitivity was 77.9% and the specificity was 73.6%. Taking shell-viral culture as the reference method, the Adeno Respiratory Card Letitest (Leti diagnostics, Barcelona, Spain) sensitivity and specificity values were 80.0% and 60.9%, respectively. Using RT-PCR (Clart Pneumovir Version 3.0, Genomica, Madrid, Spain) as the reference standard, the viral culture sensitivity was 53.2% and the specificity was 100%. The Adeno Respiratory Card Letitest (Leti diagnostics, Barcelona, Spain) assay could be a simple and rapid method for antigenic detection of adenovirus in pediatric respiratory samples although it would be necessary to improve the specificity and sensitivity of the test. 
 Title: Immunochromatographic test for detection of adenovirus from respiratory samples: Is it a real solution for pediatric emergency department?

A: True
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Q: Paragraph: We have developed a full genome virus detection process that combines sensitive nucleic acid preparation optimised for virus identification in fecal material with Illumina MiSeq sequencing and a novel post-sequencing virus identification algorithm. Enriched viral nucleic acid was converted to double-stranded DNA and subjected to Illumina MiSeq sequencing. The resulting short reads were processed with a novel iterative Python algorithm SLIM for the identification of sequences with homology to known viruses. De novo assembly was then used to generate full viral genomes. The sensitivity of this process was demonstrated with a set of fecal samples from HIV-1 infected patients. A quantitative assessment of the mammalian, plant, and bacterial virus content of this compartment was generated and the deep sequencing data were sufficient to assembly 12 complete viral genomes from 6 virus families. The method detected high levels of enteropathic viruses that are normally controlled in healthy adults, but may be involved in the pathogenesis of HIV-1 infection and will provide a powerful tool for virus detection and for analyzing changes in the fecal virome associated with HIV-1 progression and pathogenesis. 
 Title: Full Genome Virus Detection in Fecal Samples Using Sensitive Nucleic Acid Preparation, Deep Sequencing, and a Novel Iterative Sequence Classification Algorithm

A: False
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Q: Paragraph: Rational design of proteins with novel binding specificities and increased affinity is one of the major goals of computational protein design. Epitope-scaffolds are a new class of antigens engineered by transplanting viral epitopes of pre-defined structure to protein scaffolds, or by building protein scaffolds around such epitopes. Epitope-scaffolds are of interest as vaccine components to attempt to elicit neutralizing antibodies targeting the specified epitope. In this study we developed a new computational protocol, MultiGraft Interface, that transplants epitopes but also designs additional scaffold features outside the epitope to enhance antibody-binding specificity and potentially influence the specificity of elicited antibodies. We employed MultiGraft Interface to engineer novel epitope-scaffolds that display the known epitope of HIV-1 neutralizing antibody 2F5 and that also interact with the functionally important CDR H3 antibody loop. MultiGraft Interface generated an epitope-scaffold that bound 2F5 with sub-nanomolar affinity (K D = 400 pM) and that interacted with the antibody CDR H3 loop through computationally designed contacts. Substantial structural modifications were necessary to engineer this antigen, with the 2F5 epitope replacing a helix in the native scaffold and with 15% of the native scaffold sequence being modified in the design stage. This epitope-scaffold represents a successful example of rational protein backbone engineering and protein-protein interface design and could prove useful in the field of HIV vaccine design. MultiGraft Interface can be generally applied to engineer novel binding partners with altered specificity and optimized affinity. § 
 Title: Computational design of protein antigens that interact with the CDR H3 loop of HIV broadly neutralizing antibody 2F5 HHS Public Access

A:
False
****