instruction:
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".
question:
Paragraph: Several graph representations have been introduced for different data in theoretical biology. For instance, complex networks based on Graph theory are used to represent the structure and/or dynamics of different large biological systems such as protein-protein interaction networks. In addition, Randic, Liao, Nandy, Basak, and many others developed some special types of graph-based representations. This special type of graph includes geometrical constrains to node positioning in space and adopts final geometrical shapes that resemble lattice-like patterns. Lattice networks have been used to visually depict DNA and protein sequences but they are very flexible. However, despite the proved efficacy of new lattice-like graph/networks to represent diverse systems, most works focus on only one specific type of biological data. This work proposes a generalized type of lattice and illustrates how to use it in order to represent and compare biological data from different sources. We exemplify the following cases: protein sequence; mass spectra (MS) of protein peptide mass fingerprints (PMF); molecular dynamic trajectory (MDTs) from structural studies; mRNA microarray data; single nucleotide polymorphisms (SNPs); 1D or 2D-Electrophoresis study of protein polymorphisms and protein-research patent and/or copyright information. We used data available from public sources for some examples but for other, we used experimental results reported herein for the first time. This work may break new ground for the application of Graph theory in theoretical biology and other areas of biomedical sciences. 
 Title: Generalized lattice graphs for 2D-visualization of biological information
answer:
True


question:
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
answer:
False


question:
Paragraph: Molecular techniques have enabled major advances in the speed and sensitivity of the laboratory diagnosis of respiratory infections. Although the polymerase chain reaction is the most commonly used, there are several other methods available, which have applicability across the range of microbial pathogens. This review does not intend to be a comprehensive treatise on the rapid diagnosis of respiratory infections. There are several excellent textbooks that cover the field in detail 1,2 . It will, instead, focus on recent and future trends. Laboratory diagnosis is essential in the overwhelming majority of clinical conditions that require specific therapy. It is a misconception, for example, that streptococcal pharyngitis can be reliably differentiated on clinical grounds from viral pharyngitis in an individual patient. Probability estimates can be made (for instance common cold symptoms have an 80% negative predictive value for the diagnosis of bacterial pharyngitis), but confirmation is only after laboratory examination. Most diagnostic advances in the last decade have focused on detection technologies. It should not be forgotten, however, that sampling inadequacies are the prime reason for failure to identify aetiology. It is well recognised that, for most respiratory viruses, the delay in transport of the specimen to the laboratory is usually the major factor in both slowness of the process and a failure to make a diagnosis. There has been some success in applying near-patient testing. This has, in general, made the diagnosis of respiratory tract virus infection more reliable and speedier. It has had particular use in differentiating respiratory syncytial virus cases who might need admission from other causes of viral respiratory tract infection. Another important consideration is the type of specimen used. For lower respiratory tract bacterial infections, sputum is the gold standard specimen, but the quality of the specimen is key because oral and gastrointestinal secretions may contaminate it. Ideally, there should be fewer than 10 squamous cells and greater than 25 leukocytes in a low power (x100 
 Title: Recent advances in the rapid diagnosis of respiratory tract infection
answer:

False