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".

Ex Input:
Paragraph: Human rhinovirus 3C protease (HRV 3C pro ) is known to be a promising target for development of therapeutic agents against the common cold because of the importance of the protease in viral replication as well as its expression in a large number of serotypes. To explore non-peptidic inhibitors of HRV 3C pro , a series of novel heteroaromatic esters was synthesized and evaluated for inhibitory activity against HRV 3C pro , to determine the structure-activity relationships. The most potent inhibitor, 7, with a 5-bromopyridinyl group, had an IC 50 value of 80 nM. In addition, the binding mode of a novel analog, 19, with the 4hydroxyquinolinone moiety, was explored by molecular docking, suggesting a new interaction in the S1 pocket. Ó 2009 Elsevier Ltd. All rights reserved. Picornaviruses include important human pathogens such as human rhinovirus (HRV), enterovirus (EV), coxsackievirus (CV), poliovirus (PV), and hepatitis A virus (HAV). HRVs are the single major cause of the common cold in populations of all ages. 1,2 Although rhinovirus infection is self-limiting, complications still occur in patients with asthma, congestive heart failure, bronchiectasis, and cystic fibrosis. 1 To date, no agent has been approved by the FDA for treatment of rhinovirus infection. In addition, the large number (>100) of known HRV serotypes makes vaccine development difficult. 3 Clinical treatments are directed toward relief of the most prominent symptoms of each clinical syndrome. Previous work on anti-rhinoviral therapeutic agents focused principally on capsid-binding anti-picornaviral compounds 4 and HRV 3C protease (3C pro ) inhibitors. 5, 6 HRV 3C pro is essential for virus replication, specifically catalyzing the cleavage of glutamine-glycine peptide bonds in a 230 kDa viral polyprotein produced by cellular translation of the viral RNA genome. HRV 3C pro belongs to the cysteine protease family, showing structural similarity to trypsin proteases, but sharing minimal homology with common mammalian enzymes. 7,8 Because of the importance of the enzyme in viral replication, and the high conservation of enzyme active site components in all known HRV serotypes, potent and selective HRV 3C pro inhibitors could be potential broad-spectrum anti-rhinoviral therapeutic agents. [9] [10] [11] As part of an effort to develop HRV 3C pro inhibitors, peptidomimetic approaches have been widely employed based on active site structure and cleavage specificity. To date, one peptidomimetic analog, rupintrivir (AG7088) (1), shown in Figure 1 , is the only HRV 3C Pro inhibitor that has advanced to the stage of human clinical trials. Phase II clinical trials of rupintrivir showed that intranasal delivery reduced the mean total daily symptom score by 33%. 12 Recently, several efforts to develop orally bioavailable anti-rhinoviral agents have been reported; these include a rupintrivir analog, 2, 13 with an improved pharmacokinetic profile, and the non-peptidic inhibitors 3 and 4. 14-16 The crystal structure of severe acute respiratory syndrome (SARS) coronavirus 3C-like protease (3CL pro ) 17 revealed a high similarity of active site architecture to that of HRV 3C pro , suggesting that picornavirus 3C pro and SARS 3CL pro inhibitors should cross-react. In fact, SARS 3CL pro inhibitors were developed by modifying rupintrivir 18 and common inhibitors with IC 50 values in the micromolar range were recently identified for both picornavirus 3C pro and coronavirus 3CL pro using high-throughput screening. 19,20 The pyridinyl thiophene ester 5 was discovered by screening a small molecule library (50,000 molecules) and has significant inhibitory activity against both HAV 3C pro and SARS 3CL pro (IC 50 = 0.5 lM). 19, 21 Further work on a series of heteroaromatic esters resulted in the discovery of the most potent ester 6, inhibiting SARS 3CL pro with an IC 50 of 30 nM and an antiviral activity (EC 50 value) of 6.9 lM. 22 Another analog, 7, also showed potent inhibition of HAV 3C pro with an IC 50 of 53 nM. 23 Studies on the inhibitory and molecular docking mechanisms of heteroaromatic esters have shown that the 5-halopyridine moiety is crucial in binding to the S1 pocket, because both 3C pro and 3CL pro show high specificity for Gln as the P1 residue. 23 0960-894X/$ -see front matter Ó 
 Title: Structure-activity relationships of heteroaromatic esters as human rhinovirus 3C protease inhibitors

Ex Output:
True


Ex Input:
Paragraph: Background 3 In silico bacterial, viral, and human truth datasets were generated to evaluate available metagenomics 4 algorithms. Sequenced datasets include background organisms, creating ambiguity in the true 5 source organism for each read. Bacterial and viral datasets were created with even and staggered 6 coverage to evaluate organism identification, read mapping, and gene identification capabilities of 7 available algorithms. These truth datasets are provided as a resource for the development and 8 refinement of metagenomic algorithms. Algorithm performance on these truth datasets can inform 9 decision makers on strengths and weaknesses of available algorithms and how the results may be best 10 leveraged for bacterial and viral organism identification and characterization. 11 12 Source organisms were selected to mirror communities described in the Human Microbiome Project as 13 well as the emerging pathogens listed by the National Institute of Allergy and Infectious Diseases. The 14 six in silico datasets were used to evaluate the performance of six leading metagenomics algorithms: 15 MetaScope, Kraken, LMAT, MetaPhlAn, MetaCV, and MetaPhyler. 16 Results Algorithms were evaluated on runtime, true positive organisms identified to the genus and species 19 levels, false positive organisms identified to genus and species level, read mapping, relative abundance 20 estimation, and gene calling. No algorithm out performed the others in all categories, and the 21 algorithm or algorithms of choice strongly depends on analysis goals. MetaPhlAn excels for bacteria 22 and LMAT for viruses. The algorithms were ranked by overall performance using a normalized 23 weighted sum of the above metrics, and MetaScope emerged as the overall winner, followed by Kraken 24 and LMAT. 25 Conclusions 27 Simulated FASTQ datasets with well--characterized truth data about microbial community composition 28 reveal numerous insights about the relative strengths and weaknesses of the metagenomics algorithms 29 evaluated. The simulated datasets are available to download from the Sequence Read Archive 30 (SRP062063). 31 32 
 Title: Evaluating performance of metagenomic characterization algorithms using in silico datasets generated with FASTQSim

Ex Output:
False


Ex Input:
Paragraph: Severe acute respiratory syndrome (SARS) and human infection H7N9 influenza are emerging infectious diseases having a relatively high mortality. Epidemics of each began in China. By searching through Science Citation Index, this study analyzed the article literature on SARS and H7N9 influenza, particularly papers in the leading journals The Lancet, New England Journal of Medicine (NEJM), Nature and Science. The results show that the quantity and quality of SARS and H7N9 influenza literature from mainland China changed distinctly over the course of 10 years. Researchers from mainland China published 12 article literature in the The Lancet, NEJM, Nature and Science about H7N9 influenza, whereas mainland China had only 2 article literature about SARS in the same journals. The literature reflects China's growing strength in the science and technology of emerging infectious disease. 
 Title: Emerging infectious disease: trends in the literature on SARS and H7N9 influenza

Ex Output:

True