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".

Paragraph: Hepatitis C Virus (HCV) infects 2% of the world's population and is the leading cause of liver disease and liver transplantation. It poses a serious and growing worldwide public health problem that will only be partially addressed with the introduction of new antiviral therapies. However, these treatments will not prevent re-infection particularly in high risk populations. The introduction of a HCV vaccine has been predicted, using simulation models in a high risk population, to have a significant effect on reducing the incidence of HCV. A vaccine with 50 to 80% efficacy targeted to high-risk intravenous drug users could dramatically reduce HCV incidence in this population. Virus like particles (VLPs) are composed of viral structural proteins which self-assemble into non-infectious particles that lack genetic material and resemble native viruses. Thus, VLPs represent a safe and highly immunogenic vaccine delivery platform able to induce potent adaptive immune responses. Currently, many VLP-based vaccines have entered clinical trials, while licensed VLP vaccines for hepatitis B virus (HBV) and human papilloma virus (HPV) have been in use for many years. The HCV core, E1 and E2 proteins can self-assemble into immunogenic VLPs while inclusion of HCV antigens into heterogenous (chimeric) VLPs is also a promising approach. These VLPs are produced using different expression systems such as bacterial, yeast, mammalian, plant, or insect cells. Here, this paper will review HCV VLP-based vaccines and their immunogenicity in animal models as well as the different expression systems used in their production. 
 Title: Preclinical Development and Production of Virus-Like Particles As Vaccine Candidates for Hepatitis C
True

Paragraph: Next year will mark the 100th anniversary of the Michaelis-Menten equation [1], one of the most important and well known models in enzymology. Remarkable progress in enzymology over the past hundred years has not only provided deep insight into biological processes, but also has dramatically changed our lives. However, because of limitations in available techniques, enzymologists primarily investigate the in vitro properties and catalytic mechanisms of individual enzymes. Thus, they often fail to address a fundamental scientific question: how are biological processes, most of which are chemical reactions catalyzed by enzymes, coordinated in space and time to produce a living organism [2]? Fortunately, applications of new techniques and, in particular, wide acceptance of the idea of systems have enabled enzymologists to begin studying enzymes in the context of dynamic, complicated biological systems in recent years. Many excellent reviews and research articles on enzymology have been published in the past few years. These articles highlight the latest developments in enzymology, and should prove helpful for understanding how to best integrate the idea of systems into enzymology research. In living organisms, protein post-translational modification (PTM) pathways are large and interconnected networks. Via reversible or irreversible covalent modifications, allo-steric regulations of PTM enzymes and cross-talk of PTM pathways, PTM networks enable organisms to respond to stimuli faster than is possible through gene transcription regulation. Therefore, PTM enzymes, as key nodes of biological networks, are a recent focus of attention. 
 Title: SCIENCE CHINA A glimpse of enzymology within the idea of systems
False

Paragraph: publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. A n n P a t h o l 2 0 0 5 ; 2 5 : 3 4 9 -5 6 © M a s s o n , P a r i s , 2 0 0 5 349 Article original Accepté pour publication le 25 août 2005 Tirés à part : P. Hofman, voir adresse en début d'article. 
 Title: Diagnostic histologique des infections bactériennes nécrosantes extensives du poumon Étude de 4 observations d'évolution fulminante

True