TASK DEFINITION: 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".
PROBLEM: Paragraph: Nature is the most abundant source for novel drug discovery. Lycorine is a natural alkaloid with immense therapeutic potential. Lycorine is active in a very low concentration and with high specificity against a number of cancers both in vivo and in vitro and against various drug-resistant cancer cells. This review summarized the therapeutic effect and the anticancer mechanisms of lycorine. At the same time, we have discussed the pharmacology and comparative structure-activity relationship for the anticancer activity of this compound. The researches outlined in this paper serve as a foundation to explain lycorine as an important lead compound for new generation anticancer drug design and provide the principle for the development of biological strategies to utilize lycorine in the treatment of cancers. 
 Title: Lycorine: A prospective natural lead for anticancer drug discovery

SOLUTION: True

PROBLEM: Paragraph: Retroviruses are classified as exogenous and endogenous retroviruses according to the mode of transmission. Endogenous retroviruses (ERVs) are retroviruses which have been integrated into germ-line cells and inherited from parents to offspring. Most ERVs are inactivated by deletions and mutations; however, certain ERVs maintain their infectivity and infect the same host and new hosts as exogenous retroviruses. All domestic cats have infectious ERVs, termed RD-114 virus. Several canine and feline attenuated vaccines are manufactured using RD-114 virus-producing cell lines such as Crandell-Rees feline kidney cells; therefore, it is possible that infectious RD-114 virus contaminates live attenuated vaccines. Recently, Japanese and UK research groups found that several feline and canine vaccines were indeed contaminated with infectious RD-114 virus. This was the first incidence of contamination of 'infectious' ERVs in live attenuated vaccines. RD-114 virus replicates efficiently in canine cell lines and primary cells. Therefore, it is possible that RD-114 virus infects dogs following inoculation with contaminated vaccines and induces proliferative diseases and immune suppression, if it adapts to grow efficiently in dogs. In this review, we summarize the incidence of contamination of RD-114 virus in live attenuated vaccines and potential risks of infection with RD-114 virus in dogs. Retroviruses enter host cells via binding of the envelope proteins with the host receptor(s). After entering the cells, viral RNA is reverse-transcribed into DNA and then the DNA is integrated into the host genome to be a provirus. Viral RNA is transcribed from the provirus and the structural and enzymatic proteins of the virus are synthesized from the transcribed viral RNA. Retroviruses are classified as exogenous and endogenous retroviruses according to the mode of transmission [14] . Usually, exogenous retroviruses infect somatic cells but not germ-line cells, and they are transmitted horizontally by infection via viral particles. On the other hand, ERVs are retroviruses which have been integrated into germ-line cells. ERVs behave like normal genes and are inherited from parents to offspring as Mendelian's law. ERVs occupy about 10 % of mammalian genomes and are mostly inactivated by deletions and mutations [14, 15, 17, 27] . However, a limited number of ERVs maintain their infectivity and infect new hosts as exogenous retroviruses [6] . Exogenous retroviruses are classified into seven genera, i.e., alpharetrovirus, betaretrovirus, gammaretrovirus, deltaretrovirus, epsilonretrovirus, spumaretrovirus and Electronic supplementary material The online version of this article ( 
 Title: Contamination of live attenuated vaccines with an infectious feline endogenous retrovirus (RD-114 virus)

SOLUTION: True

PROBLEM: Paragraph: This study proposes an optimization model for optimal treatment of bacterial infections. Using an influence diagram as the knowledge and decision model, we can conduct two kinds of reasoning simultaneously: diagnostic reasoning and treatment planning. The input information of the reasoning system are conditional probability distributions of the network model, the costs of the candidate antibiotic treatments, the expected effects of the treatments, and extra constraints regarding belief propagation. Since the prevalence of the pathogens and infections are determined by many site-by-site factors, which are not compliant with conventional approaches for approximate reasoning, we introduce fuzzy information. The output results of the reasoning model are the likelihood of a bacterial infection, the most likely pathogen(s), the suggestion of optimal treatment, the gain of life expectancy for the patient related to the optimal treatment, the probability of coverage associated with the antibiotic treatment, and the cost-effect analysis of the treatment prescribed. 
 Title: A diagnostic reasoning and optimal treatment model for bacterial infections with fuzzy information

SOLUTION:
False