SARS-CoV-2: A computer model to visualise possible attack points of viruses and virus mutants

Press Release

Das Coronavirus befällt menschliche Zellen und programmiert deren Stoffwechsel so um, dass neue Bestandteile für Viruspartikel, wie Nukleotide, Proteine und Fettsäuren, hergestellt werden. Durch Computeranalysen des veränderten Stoffwechsels in Alveolarmakropagen konnte in allen getesteten Virusmutanten die Guanylatkinase als möglicher Angriffspunkt bestätigt werden.

Press release


June 1, 2021


SARS-CoV-2: A computer model to visualise possible attack points of viruses and virus mutants

There is still an urgent need for drugs against the new coronavirus. This urgency increases further with the emergence of new virus mutations that could push vaccines to their limits. For more than a year, the group around Andreas Dräger—Principal Investigator within the Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI) of the University of Tübingen and DZIF scientist—has worked on a computer model that identifies weaknesses of the virus and, thus, potential attack points. Previously, the researchers have already identified a human enzyme as such a promising target. Their latest study confirms this result. Furthermore, the bioinformaticians show new attack points and demonstrate that they also apply to the new mutants.


“Even at the start of the year, we had already seen in our model that one human enzyme – guanylate kinase 1 – is essential for the replication of the virus,” Dr Andreas Dräger explains. If this kinase is switched off, the virus can no longer proliferate. “However, this process does not involve any damage to the cell, which is of great importance for a potential active substance,” Dräger adds. With a junior associate professorship of the German Center for Infection Research (DZIF) at the University of Tübingen, the bioinformatician works in computer-based systems biology. For this approach, Andreas Dräger, together with his team colleagues Alina Renz and Lina Widerspick, refined an integrated computer model working with the novel coronavirus SARS-CoV-2 and human alveolar macrophages. The latter is responsible for defence against foreign substances in the pulmonary alveoli.


A genome-scale metabolic model

The initial situation in the model is that the virus has invaded the host, in this case, a human alveolar macrophage, and has already reprogrammed it. The model now assumes that the virus wants to produce new virus particles and proliferate. To do this, the virus uses materials from the host and forces the host cells to form new virus components. “Once we understand the composition of the virus, we can run through different scenarios and see how the biochemical reactions in the host cells change during a viral infection.”


Model improved by advanced knowledge about the virus

In the current study, the research group was able to refine their computer model with new information about structural proteins and the SARS-CoV-2 fat metabolism and identify new potential attack points in the nucleotide and lipid metabolisms. In addition, they added information about the threatening virus mutants and analysed whether the already identified weaknesses also applied here. The result was the same for all tested mutants: If guanylate kinase (GK1) was switched off, the proliferation of the virus was stopped.    


The team around Andreas Dräger assumes that these findings will form an essential basis for developing inhibitors of the novel coronavirus. Both guanylate kinase 1 and some of the identified drug targets in the nucleotide and lipid metabolisms could respond to antiviral substances without harming humans. “Some inhibitors of the enzyme are already known and, together with our Hamburg-based collaboration partner Dr Bernhard Ellinger from the Fraunhofer IME ScreeningPort (IME), we now want to test already approved inhibitors for their effectiveness against the new coronavirus as soon as possible,” Andreas Dräger explains.   


Source: Press Release German Center for Infection Research (DZIF)



Renz A, Widerspick L, Dräger A. Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target. Genes 12: 796. (2021) doi: https://doi.org/10.3390/genes12060796.



Dr. Andreas Dräger

Cluster of Excellence "Controlling Microbes to Fight Infections" (CMFI)

Interfaculty Institute for Biomedical Informatics (IBMI)

Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens

Phone: +49 70 71 29-70459

draegerspam prevention@informatik.uni-tuebingen.de