Cell membranes of bacteria continue to evolve and multiply. With this evolution, functions of the surface membranes change also. They tend to have higher survival value, developing a protective and functional wall. This allows the cell to determine how it will respond to the environment. This then led to these bacteria to stop responding to prescribed antibiotics as the treatment for the disease. Scientists are trying to find new methods to counter this.
Role Of Computation Biology In Discovering Cure
Scientists do research untiringly to find solutions to numerous complicated global problems through computational biology. They try hard to acquire new knowledge regarding proteins, bacterial cell membranes, and genome sequences that could lead to prevention and even treatment of certain diseases. Computation biology could also lead scientists to find ways to save the environment and prevent a terrorist from releasing toxic biological agents.
One example is the team led by Timo Lassmann
BSc (Hons) MSc PhD, “We focus on analyzing large public omics datasets using machine learning algorithms to understand dynamics of genome activity – which sequences are used when and where. Linking this data back to the genetic information of a patient is allowing us to discover the molecular causes of diseases and is key in predicting future disease and treatment outcomes.’
The biological system is a very complicated subject. It requires processing of a large amount of data to understand it. Sophisticated mathematical equation-based programs used in computational biology allows the researchers to understand and foresee cell behaviors, how they interact and respond in the environment.
One good example is in studying proteins, its structure, function, and cell behavior (performance and interaction). Using computer models, scientists can distinguish protein markers that could indicate possible onset of disease. Acquiring this knowledge of possible occurrence, lead them in finding ways on how they can prevent or treat the disease.
In a study conducted by Jennifer E. Ho, MD and co-authors, “We identified numerous protein biomarkers that predicted cardiovascular outcomes and all‐cause mortality, including biomarkers representing regulators of metabolic homeostasis and inflammatory pathways.”
Scientists are also utilizing this method of data analysis in studying Ras which is a complex protein. A mutant structure of Ras is found in 30% of tumors in humans. Ras acts as a control switch as cells develop and grow. It detects how different they are from one another. And scientists are using these data to find methods to prevent and cure cancer and some other diseases.
Some scientists are also trying to discover new methods to combat infection by utilizing computer data simulation and modeling of proteins in bacteria. “Computer simulation techniques have become important tools to study the properties of biomolecules and their interactions with other molecules,” André H. Juffer, Ph.D. wrote. Through computer modeling of cells, scientists are observing, trying to discover and find reasons why some bacteria can get away from being treated by prescribed antibiotics. They are hopeful that this would lead them to new methods of treatment that will eventually be effective in targeting bacteria.
The Pacific Northwest National Laboratory or PNNL is also working on computer modeling of proteins that are found in the bacterial membranes. Their scientists and researchers are at the cutting edge of their research using computational method understanding the issue and findings new ways to fight infections. They are currently working on the cell wall of Pseudomonas aeruginosa, an aggressive bacterium. This infects the respiratory systems of individuals suffering from cystic fibrosis. Modeling the cell wall, they anticipate to find out how treatment was not able to ward off the bacteria, and then eventually discover the appropriate therapy to treat the disease.
Scientists are working on engineering a biosystem to help them understand the complicated genome sequences. To do this, they need to know how the cells work individually and as a community. Learning and understanding how they work together is essential for them to be able to design the biosystems for drug evolution to progress, carbon sequestration, or environmental cleanup. Discovering the novel genes by analyzing the genomes of microorganisms will allow scientists to know how bacteria processes toxic pollutants. Successfully solving this issue could also be used to counterattack the bacteria and viruses being used by the terrorist as a weapon against their enemy. At the same time, it could lead to a better way of detecting, responding, and even preventing it urgently.
Because cell membranes of bacteria evolve and progress, scientists are working hard using the newest method to observe and study cell membranes. They look into how each cell performs, interact, and respond to its environment, which may eventually lead scientists on techniques to use so they may be able to combat these bacteria and finally find the cure to various diseases.
DOE/Pacific Northwest National Laboratory. (2005, December 2). Computational biology is enabling new discoveries to solve complex global problems. Retrieved from https://www.eurekalert.org/features/doe/2005-12/dnnl-cbe120205.php.