• Title/Summary/Keyword: model viruses

Search Result 79, Processing Time 0.026 seconds

Hopf-bifurcation Analysis of a Delayed Model for the Treatment of Cancer using Virotherapy

  • Rajalakshmi, Maharajan;Ghosh, Mini
    • Kyungpook Mathematical Journal
    • /
    • v.62 no.1
    • /
    • pp.119-132
    • /
    • 2022
  • Virotherapy is an effective method for the treatment of cancer. The oncolytic virus specifically infects the lyse cancer cell without harming normal cells. There is a time delay between the time of interaction of the virus with the tumor cells and the time when the tumor cells become infectious and produce new virus particles. Several types of viruses are used in virotherapy and the delay varies with the type of virus. This delay can play an important role in the success of virotherapy. Our present study is to explore the impact of this delay in cancer virotherapy through a mathematical model based on delay differential equations. The partial success of virotherapy is guarenteed when one gets a stable non-trivial equilibrium with a low level of tumor cells. There exits Hopf-bifurcation by considering the delay as bifurcation parameter. We have estimated the length of delay which preserves the stability of the non-trivial equilibrium point. So when the delay is less than a threshold value, we can predict partial success of virotherapy for suitable sets of parameters. Here numerical simulations are also performed to support the analytical findings.

Efficacy of Sanitizing Treatments for Feline Calicivirus as a Norovirus Surrogate Attached to Food and Food Contact Surfaces

  • Lee, Sung-Young;Kim, Kwang-Yup
    • Preventive Nutrition and Food Science
    • /
    • v.15 no.2
    • /
    • pp.130-136
    • /
    • 2010
  • Norovirus (NV) is becoming a major cause of foodborne illness in many countries. At present, very little is known about the survival of NV in the environment or the disinfection procedures needed to remove NV from contaminated surfaces. Feline calicivirus (FCV, $1{\times}10^{6.75}\;TCID_{50}/mL$) was used as a surrogate model for NV to investigate the effectiveness of sanitizing treatments for the viruses attached to food and food contact surfaces. Ammonium chloride (2%), organic acids (3000 ppm), and ethanol (70%) were most effective, providing $4\;log_{10}$ (99.99%) reductions in FCV titers on food or food contact surfaces. The disinfection efficacies of most agents on ceramic and glass surfaces were greater than stainless steel. The results from this study can be applied in the food industry to reduce NV-associated foodborne illnesses.

Evolution of avian infectious bronchitis virus: Genetic drift and recombination

  • Lee, Chang-Won
    • Korean Journal of Veterinary Service
    • /
    • v.25 no.1
    • /
    • pp.97-103
    • /
    • 2002
  • Infectious bronchitis(IB) is a viral disease in which continued evolution of the virus is of paramount importance for annual endemics and epidemics in chickens. Since the isolation of IB viruses(IBVs) in the 1930s, over 50 serotypes or variants have been reported worldwide. Continuing evolution is most prominent in the suface glycoproteins of IBV but also occurs in other parts of the genome. This genetic variability results from accumulation of molecular changes that can occur by a number of different mechanisms including genetic drift (point mutations) and genetic shift(RNA recombination). GA98 is a new serotype of IBV identified recently in the United States. In this paper, the evolutionary trend of IBV will be discussed using GA98 serotype as a model.

Stereoselective Synthesis and Antiviral Activity of Novel 4′(α)-Hydroxymethyl and 6′(α)-Methyl Dually Branched Carbocyclic Nucleosides

  • Kim, Jin-Woo;Choi, Bo-Gil;Hong, Joon-Hee
    • Bulletin of the Korean Chemical Society
    • /
    • v.25 no.12
    • /
    • pp.1812-1816
    • /
    • 2004
  • The stereoselective synthesis 4′,6′-dually branched carbocyclic nucleosides was accomplished in this study. The introduction of a methyl group in the 6′$({\alpha})$-position was accomplished by Felkin-Anh controlled alkylation. The construction of the required 4′$({\alpha})$-quaternary carbon was carried out using a [3,3]-sigmatropic rearrangement. Bis-vinyl 6 was successfully cyclized using a Grubbs' catalyst II. The natural bases (adenine, cytosine) were efficiently coupled using a Pd(0) catalyst. When the synthesized compounds were examined for their activity against several viruses such as the HIV-1, HSV-1, HSV-2 and HCMV, the cytosine analogue 13 exhibited good antiviral activity against the HCMV.

Synthesis and Antiviral Activity of Novel 4',5'-Branched Pyrimidine Nucleosides (4',5'-측쇄를 가진 새로운 피리미딘 뉴크레오사이드의 합성 및 항바이러스 약효검색)

  • Kim Aihong;Kooh Dae-Ho;Ko Ok Hyun;Hong Joon Hee
    • YAKHAK HOEJI
    • /
    • v.49 no.1
    • /
    • pp.20-24
    • /
    • 2005
  • The synthesis of 4',5'-doubly branched carbocyclic nucleosides was accomplished in this study. The selective methylation in the 5'-position was made by Felkin-Anh controlled Grignard addition. The construction of the required 4'-quaternary carbon was carried out by using a [3,3]-sigmatropic rearrangement. Bis-vinyl 6 was successfully cyclized using a Grubbs' catalyst II. The natural pyrimidine bases (cytosine, uracil, thymine) were efficiently coupled using a Pd(0) catalyst. When the synthesized compounds were examined for their activity against several viruses such as the HIV-1, HSV-1, HSV-2 and HCMV, the cytosine analogue 13 exhibited weak antiviral activity against the HCMV.

New Aspects of Gene-for-Gene Interactions for Disease Resistance in Plant

  • Nam, Jaesung
    • The Plant Pathology Journal
    • /
    • v.17 no.2
    • /
    • pp.83-87
    • /
    • 2001
  • Disease resistance in plants is often controlled by gene-for-gene mechanism in which avirulence (avr) gene products encoding by pathogens are specifically recognized, either directly or indirectly by plant disease resistance (R) gene products. Recent studies arising from molecular cloning of a number of R genes from various plant species that confer resistance to different pathogens and corresponding avr genes from various pathogens resulted in the accumulation of a wealth of knowledge on mode of action of gene-for-gene interaction. Specially, members of the NBS-LRR class of R genes encoding proteins containing a nucleotide binding site (NBS) and carboxyl-terminal leucine-rich repeats (LRRs) confer resistance to very different types of phytopathogens, such as bacteria, fungi, oomycetes, viruses, nematodes and aphids. This article reviewed the molecular events that occur up-stream of defense response pathway, specially, bacterial avr gene protein recognition mediated by NBS-LRR type R gene product in plant based on current research results of well studied model plants.

  • PDF

Adoption of the Bring Your Own Device (BYOD) Approach in the Health Sector in Saudi Arabia

  • Almarhabi, Khalid A.;Alghamdi, Ahmed M.;Bahaddad, Adel A.
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.7
    • /
    • pp.371-382
    • /
    • 2022
  • The trend of Bring Your Own Device (BYOD) is gaining popularity all over the world with its innumerable benefits such as financial gain, greater employee satisfaction, better job efficiency, boosted morale, and improved flexibility. However, this unstoppable and inevitable trend also brings its own challenges and risks while managing and controlling corporate data and networks. BYOD is vulnerable to attacks by viruses, malware, or spyware that can reach sensitive data and disclose information, modify access policies, disrupt services, create financial issues, minimise productivity, and entail some legal implications. The key focus of this research is how Saudi Arabia has approached BYOD with the help of their 5-step solution model and quantitative research methodology. The result of this study is a statement about what users know about this trend, their opinions about it, and suggestion to increase the employee awareness.

A Hybrid Model for Android Malware Detection using Decision Tree and KNN

  • Sk Heena Kauser;V.Maria Anu
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.7
    • /
    • pp.186-192
    • /
    • 2023
  • Malwares are becoming a major problem nowadays all around the world in android operating systems. The malware is a piece of software developed for harming or exploiting certain other hardware as well as software. The term Malware is also known as malicious software which is utilized to define Trojans, viruses, as well as other kinds of spyware. There have been developed many kinds of techniques for protecting the android operating systems from malware during the last decade. However, the existing techniques have numerous drawbacks such as accuracy to detect the type of malware in real-time in a quick manner for protecting the android operating systems. In this article, the authors developed a hybrid model for android malware detection using a decision tree and KNN (k-nearest neighbours) technique. First, Dalvik opcode, as well as real opcode, was pulled out by using the reverse procedure of the android software. Secondly, eigenvectors of sampling were produced by utilizing the n-gram model. Our suggested hybrid model efficiently combines KNN along with the decision tree for effective detection of the android malware in real-time. The outcome of the proposed scheme illustrates that the proposed hybrid model is better in terms of the accurate detection of any kind of malware from the Android operating system in a fast and accurate manner. In this experiment, 815 sample size was selected for the normal samples and the 3268-sample size was selected for the malicious samples. Our proposed hybrid model provides pragmatic values of the parameters namely precision, ACC along with the Recall, and F1 such as 0.93, 0.98, 0.96, and 0.99 along with 0.94, 0.99, 0.93, and 0.99 respectively. In the future, there are vital possibilities to carry out more research in this field to develop new methods for Android malware detection.

Research on Mobile Malicious Code Prediction Modeling Techniques Using Markov Chain (마코프 체인을 이용한 모바일 악성코드 예측 모델링 기법 연구)

  • Kim, JongMin;Kim, MinSu;Kim, Kuinam J.
    • Convergence Security Journal
    • /
    • v.14 no.4
    • /
    • pp.19-26
    • /
    • 2014
  • Mobile malicious code is typically spread by the worm, and although modeling techniques to analyze the dispersion characteristics of the worms have been proposed, only macroscopic analysis was possible while there are limitations in predicting on certain viruses and malicious code. In this paper, prediction methods have been proposed which was based on Markov chain and is able to predict the occurrence of future malicious code by utilizing the past malicious code data. The average value of the malicious code to be applied to the prediction model of Markov chain model was applied by classifying into three categories of the total average, the last year average, and the recent average (6 months), and it was verified that malicious code prediction possibility could be increased by comparing the predicted values obtained through applying, and applying the recent average (6 months).

Comparative study: nonsynonymous and synonymous substitution of SARS-CoV-2, SARS-CoV, and MERS-CoV genome

  • Sohpal, Vipan Kumar
    • Genomics & Informatics
    • /
    • v.19 no.2
    • /
    • pp.15.1-15.7
    • /
    • 2021
  • The direction of evolution can estimate based on the variation among nonsynonymous to synonymous substitution. The simulative study investigated the nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection, and the divergence time. The simulated results, dN/dS > 1 signify that an entire substitution model tends towards the hypothesis's positive evolution. The effect of transition/transversion proportion, Z-test of selection, and the evolution associated with these respiratory syndromes, are also analyzed. Z-test of selection for neutral and positive evolution indicates lower to positive values of dN-dS (0.012, 0.019) due to multiple substitutions in a short span. Modified Nei-Gojobori (P) statistical technique results also favor multiple substitutions with the transition/transversion rate from 1 to 7. The divergence time analysis also supports the result of dN/dS and imparts substantiating proof of evolution. Results conclude that a positive evolution model, higher dN-dS, and transition/transversion ratio significantly analyzes the evolution trend of severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus.