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: The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Recently, the modeling of MHC-peptide binding has come to emphasize quantitative predictions: instead of categorizing peptides as "binders" or "non-binders" or as "strong binders" and "weak binders", recent methods seek to make predictions about precise binding affinities. We developed a quantitative support vector machine regression (SVR) approach, called SVRMHC, to model peptide-MHC binding affinities. As a non-linear method, SVRMHC was able to generate models that out-performed existing linear models, such as the "additive method". By adopting a new "11-factor encoding" scheme, SVRMHC takes into account similarities in the physicochemical properties of the amino acids constituting the input peptides. When applied to MHC-peptide binding data for three mouse class I MHC alleles, the SVRMHC models produced more accurate predictions than those produced previously. Furthermore, comparisons based on Receiver Operating Characteristic (ROC) analysis indicated that SVRMHC was able to outperform several prominent methods in identifying strongly binding peptides. As a method with demonstrated performance in the quantitative modeling of MHCpeptide binding and in identifying strong binders, SVRMHC is a promising immunoinformatics tool with not inconsiderable future potential.
Title: Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

Output: False

Input: Consider Input: Paragraph: The SARS 3C-like proteinase (SARS-3CLpro), which is the main proteinase of the SARS coronavirus, is essential to the virus life cycle. This enzyme has been shown to be active as a dimer in which only one protomer is active. However, it remains unknown how the dimer structure maintains an active monomer conformation. It has been observed that the Ser139-Leu141 loop forms a short 3 10 -helix that disrupts the catalytic machinery in the inactive monomer structure. We have tried to disrupt this helical conformation by mutating L141 to T in the stable inactive monomer G11A/R298A/Q299A. The resulting tetra-mutant G11A/L141T/R298A/Q299A is indeed enzymatically active as a monomer. Molecular dynamics simulations revealed that the L141T mutation disrupts the 3 10 -helix and helps to stabilize the active conformation. The coil-3 10 -helix conformational transition of the Ser139-Leu141 loop serves as an enzyme activity switch. Our study therefore indicates that the dimer structure can stabilize the active conformation but is not a required structure in the evolution of the active enzyme, which can also arise through simple mutations.
Title: Conformational Flexibility of a Short Loop near the Active Site of the SARS-3CLpro is Essential to Maintain Catalytic Activity OPEN

Output: True

Input: Consider Input: Paragraph: Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) has been recognized as an invariant internal control for various gene expression studies due to its classical housekeeping role in the glycolytic metabolism. However recently, this enzyme has been proven to be a multifunctional protein involved in diverse non-glycolytic activities. In the present study, two paralogue isoforms of GAPDH mRNAs were characterized from a marine teleost species, rockbream (Oplegnathus fasciatus; Perciformes) and their transcriptional responses to bacterial and viral infections were examined. Rockbream GAPDH1 and GAPDH2 cDNAs encoded 333 and 335 amino acids, respectively, and the amino acid sequence identity between those two isoforms was 74%. Two isoform GAPDH mRNAs were detected ubiquitously in all of tissues examined, but their expression levels were quite variable among tissues. Based on the real-time RT-PCR analysis, the transcription of rbGAPDH1 was affected by neither bacterial (Escherichia coli, Edwardsiella tarda, Vibrio anguillarum or Streptococcus iniae) nor viral (rockbream iridovirus; RBIV) challenges. However on the contrary, the mRNA expression of rbGAPDH2 was significantly up-regulated in liver resulting from the bacterial infections (up to 25-fold), and in both liver (more than sixfold) and kidney (up to fivefold) from the viral infection. Results in the present study suggest that teleost GAPDH isoforms may also be potentially involved in immune modulations especially with respect to inflammatory responses, which is distinct from its classical glycolytic function.
Title: Differential modulations of two glyceraldehyde 3-phosphate dehydrogenase mRNAs in response to bacterial and viral challenges in a marine teleost Oplegnathus fasciatus (Perciformes)
Output: False