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: Mouse hepatitis virus, a coronavirus, was rescued from latently infected mouse neuroblastoma cells by polyethylene glyeol-induced fusion to permissive cells. The isolated viruses grew to equal or higher titers than parental JHM virus at 39" but were restricted in replication at 32" and hence were cold-sensitive mutants. Neither isolate synthesized RNA at the nonpermissive temperature (32"), and temperature shift experiments indicated that the restrictive cold-sensitive step in replication occurred during an early viral function. The isolates were unable to complement each other at 32". Although coinfection between each mutant and parental JHM virus often resulted in decreased yields of both infecting viruses, interference could not be convincingly demonstrated. Both mutants were more thermostable than parental JHM virus and could be distinguished from each other and from parental JHM virus by their thermal inactivation kinetics. The isolates were obtained from single cell clones and therefore presumed to be homogeneous; however, thermal inactivation of one (S-3JHM) indicated the possible existence of a second population. Subclones of virus prepared from each isolate were also found to be thermally stable and to retain the cold sensitive defect. No indication of a second ~pulation of S-3JHM virus was detected.
Title: Characterization of the Cold-Sensitive Murine Hepatitis Virus Mutants Rescued from Latently Infected Cells by Cell Fusion

A: True
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Q: Paragraph: To provide optimal cut-off values of anti-Middle East respiratory syndrome coronavirus (MERS-CoV) serologic tests, we evaluated performance of ELISA IgG, ELISA IgA, IFA IgM, and IFA IgG using 138 serum samples of 49 MERS-CoV-infected patients and 219 serum samples of 219 rRT-PCR-negative MERS-CoV-exposed healthcare personnel and patients. The performance analysis was conducted for two different purposes: (1) prediction of neutralization activity in MERS-CoV-infected patients, and (2) epidemiologic surveillance of MERS-CoV infections among MERS-CoV-exposed individuals. To evaluate performance according to serum collection time, we used 'days post onset of illness (dpoi)' and 'days post exposure (dpex)' assessing neutralization activity and infection diagnosis, respectively. Performance of serologic tests improved with delayed sampling time, being maximized after a seroconversion period. In predicting neutralization activity, ELISA IgG tests showed optimal performance using sera collected after 21 dpoi at cut-off values of OD ratio 0.4 (sensitivity 100% and specificity 100%), and ELISA IgA showed optimal performance using sera collected after 14 dpoi at cut-off value of OD ratio 0.2 (sensitivity 85.2% and specificity 100%). In diagnosis of MERS-CoV infection, ELISA IgG exhibited optimal performance using sera collected after 28 dpex, at a cut-off value of OD ratio 0.2 (sensitivity 97.3% and specificity 92.9%). These new breakpoints are markedly lower than previously suggested values (ELISA IgG OD ratio 1.1, sensitivity 34.8% and specificity 100% in the present data set), and the performance data help serologic tests to be practically used in the field of MERS management.
Title: Suggested new breakpoints of anti-MERS-CoV antibody ELISA titers: performance analysis of serologic tests

A: True
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Q: Paragraph: The class I major histocompatibility complex (MHC) is capable of binding peptides derived from intracellular proteins and displaying them at the cell surface. The recognition of these peptide-MHC (pMHC) complexes by T-cells is the cornerstone of cellular immunity, enabling the elimination of infected or tumoral cells. T-cell-based immunotherapies against cancer, which leverage this mechanism, can greatly benefit from structural analyses of pMHC complexes. Several attempts have been made to use molecular docking for such analyses, but pMHC structure remains too challenging for even state-of-the-art docking tools. To overcome these limitations, we describe the use of an incremental meta-docking approach for structural prediction of pMHC complexes. Previous methods applied in this context used specific constraints to reduce the complexity of this prediction problem, at the expense of generality. Our strategy makes no assumption and can potentially be used to predict binding modes for any pMHC complex. Our method has been tested in a re-docking experiment, reproducing the binding modes of 25 pMHC complexes whose crystal structures are available. This study is a proof of concept that incremental docking strategies can lead to general geometry prediction of pMHC complexes, with potential applications for immunotherapy against cancer or infectious diseases.
Title: General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept

A:
True
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