The largest collection of digital microorganisms in the world

The research team at the Digital Twins of Galway University, Ireland, developed Apollo, the world’s largest digital collection of microorganisms. This collection includes 247,092 representatives of bacteria from the human microbial system created by computer, SciTechDaily On February 21, reported.

Apollo provides detailed models of metabolism of each microorganism, allowing scientists to study microorganisms through computer simulation instead of just on complex experiments. The collection includes data from many continents, age group and body position.

The team has created 14,451 computers of individual microbiological communities based on reality, to explore how microorganisms change metabolism according to body position, age and age. Health status. Apollo simulation also predicts important metabolites related to Crohn’s disease, Parkinson’s disease and child malnutrition. This can help shape diagnostic and future diagnostic strategies.

Based on Apollo, experts can develop drugs, probiotics (probiotics), prebiotic (fiber for food for probiotics), therapy based on microorganisms to treat certain diseases more effectively . Because of the diverse microbiological systems, the collection also provides a comprehensive viewing angle to help solve modern lifestyles that affect the health of the microbiological system. This information will support public health policies, for example, how to use antibiotics, diet and prevent disease.

“Human microbiological system is an important factor in health and disease research, strong interactions with the host. Learn these complex interactions that require advanced technology. Simulating digital models of both microorganisms and humans, allowing us to explore the role of the microbiological system with unprecedented health levels, “Professor Ines Thiele, Leader Save, said.

“Apollo marks an important milestone in the modeling of personal microorganisms on a global scale,” said Dr. Cyrille Thinnes, a member of the research team.