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Research Paper | Computers in Biology and Medicine | Kenya | Volume 7 Issue 2, February 2018
Computer Assisted Characterization of Virulence Factors among Helicobacter Pylori Strains
Akoo Benedict | Dr. Johnson Kinyua | Dr. Daniel Maina
Abstract: The global prevalence of Helicobacter pylori infection is more than 50 % and varies significantly between developed and developing countries [4, 28, 32]. The fact that the mode of transmission is still not yet clear and the bacterium has been classified as a carcinogen raises concern for a concerted effort in initiating relevant research towards gaining more in-depth knowledge on the bacterium [14]. Application of bioinformatics tools to the sequenced data provides an avenue for more information that could be analyzed to further help in designing precise lab experiments that would direct more knowledge on virulence. Identification of a given strain can help in designing primer specific amplicons to target the virulent strain which can be both strategic in drug development and also designing of diagnostic tool.
Keywords: Helicobacter pylori, comparative genomics, virulent factors, protein structure prediction, proteomics
Edition: Volume 7 Issue 2, February 2018,
Pages: 537 - 541
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Analysis Study Research Paper, Computers in Biology and Medicine, India, Volume 12 Issue 8, August 2023
Pages: 2095 - 2101Utilizing Machine Learning Algorithms for Analysing and Forecasting COVID-19 Pandemic Data
Dr. R Amutha | Dr. S. Karthik [2]
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Research Paper, Computers in Biology and Medicine, Kenya, Volume 8 Issue 5, May 2019
Pages: 83 - 89Inter-County Comparative Analysis of ID3 Decision Tree Algorithms for Disease Symptom Burden Classification and Diagnosis
Nicodemus Nzoka Maingi | Ismail Ateya Lukandu | Matilu Mwau