Creationist mode: |
As well as the paper cataloguing the multitude of mutations and varieties of the SARS-CoV-2 virus that creationism's intelligent [sic] designer has had to come up with to try to keep ahead of human medical science, we have here another paper detailing the amazing complexity of the interaction between the virus and human cells as it destroys them and kills its victims. It is by a team from the Technical University of Munich (TUM), Germany, and the Max Planck Institute of Biochemistry, Germany
Creationists can access the database the team behind this paper have constructed and made available, to marvel at the sheer complexity of the 1484 interactions between the viral proteins and the cell proteins. As described in the TUM news release:
A multidimensional view of the coronavirusSo, creationists, go ahead and play with the database to see what an evil genius the putative designer of the SARS-CoV-2 virus would have to be if it were real. While you're doing so, try to find the evidence for an all-loving creative entity who only wants the best for its creations...
What exactly happens when the corona virus SARS-CoV-2 infects a cell? In an article published in Nature, a team from the Technical University of Munich (TUM) and the Max Planck Institute of Biochemistry paints a comprehensive picture of the viral infection process. For the first time, the interaction between the coronavirus and a cell is documented at five distinct proteomics levels. This knowledge will help to gain a better understanding of the virus and find potential starting points for therapies.
When a virus enters a cell, viral and cellular protein molecules begin to interact. Both the replication of the virus and the reaction of the cells are the result of complex protein signaling cascades. A team led by Andreas Pichlmair, Professor of Immunopathology of Viral Infections at the Institute of Virology at TUM, and Matthias Mann, Head of the Department of Proteomics and Signal Transduction at the Max Planck Institute of Biochemistry, has systematically recorded how human lung cells react to individual proteins of the covid-19 pathogen SARS-CoV-2 and the SARS coronavirus, the latter of which has been known for some time.
Had we only looked at proteins, however, we would have missed out on important information. A database that only includes the proteome would be like a map containing just the place names but no roads or rivers. If you knew about the connections between the points on that map, you could gain much more useful information.
Through our investigations, we systematically assign functions to the individual components of the pathogen, in addition to the cellular molecules that are switched off by the virus.
Currently, we are working on new anti Covid-19 drug candidates, that we have been able to identify through our analyses. We are also developing a scoring system for automated identification of hotspots. I am convinced that detailed data sets and advanced analysis methods will enable us to develop effective drugs in a more targeted manner in the future and limit side effects in advance.
Professor Andreas Pichlmair
Professor of Immunopathology of Viral Infections
Institute of Virology
Technical University of Munich, Germany.A detailed interaction map
To this end, more than 1200 samples were analyzed using the state-of-the-art mass spectrometry techniques and advanced bioinformatic methods. The result is a freely accessible dataset that provides information on which cellular proteins the viral proteins bind to and the effects of these interactions on the cell. In total, 1484 interactions between viral proteins and human cellular proteins were discovered. “Had we only looked at proteins, however, we would have missed out on important information”, says Andreas Pichlmair. “A database that only includes the proteome would be like a map containing just the place names but no roads or rivers. If you knew about the connections between the points on that map, you could gain much more useful information.”
According to Pichlmair, important counterparts to the network of traffic routes on a map are protein modifications called phosphorylation and ubiquitination. Both are processes in which other molecules are attached to proteins, thereby altering their functions. In a listing of proteins, these changes are not measured, so that there is no way of knowing whether proteins are active or inactive, for example. “Through our investigations, we systematically assign functions to the individual components of the pathogen, in addition to the cellular molecules that are switched off by the virus,” explains Pichlmair. "There has been no comparable mapping for SARS-CoV-2 so far," adds Matthias Mann. “In a sense, we have taken a close look at five dimensions of the virus during an infection: its own active proteins and its effects on the host proteome, ubiquitinome, phosphoproteome and transcriptome.”
There has been no comparable mapping for SARS-CoV-2 so far. In a sense, we have taken a close look at five dimensions of the virus during an infection: its own active proteins and its effects on the host proteome, ubiquitinome, phosphoproteome and transcriptome.
Matthias Mann
Head of the Department of Proteomics and Signal Transduction
Max Planck Institute of Biochemistry,
Martinsried/Munich, GermanyInsights into how the virus works
Among other things, the database can also serve as a tool to find new drugs. By analyzing protein interactions and modifications, vulnerability hotspots of SARS-CoV-2 can be identified. These proteins bind to particularly important partners in cells and could serve as potential starting points for therapies. For example, the scientists concluded that certain compounds would inhibit the growth of SARS-CoV-2. Among them were some whose antiviral function is known, but also some compounds which have not yet been studied for efficacy against SARS-CoV-2. Further studies are needed to determine whether they show efficacy in clinical use against Covid-19.
“Currently, we are working on new anti Covid-19 drug candidates, that we have been able to identify through our analyses,” says Andreas Pichlmair. “We are also developing a scoring system for automated identification of hotspots. I am convinced that detailed data sets and advanced analysis methods will enable us to develop effective drugs in a more targeted manner in the future and limit side effects in advance.”
Creationist mode: |
Meanwhile, here are a couple of good books that explain why you're not able to find any such evidence and why, if you believe that magical nonsense, you inevitably believe in a rather nasty, sadistic misanthropic, pestilential monster who hates its creation and spends a great deal of time making sure as much of it as possible suffers as much as possible, because that is the inevitable conclusion anyone who understands the realities of biology would come to if they also believed the Intelligent Design hoax.
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