The discovery of a million possible sources of new antibiotics

An international research team has discovered about one million possible sources of antibiotics in the natural world as part of the efforts to combat the antibiotic resistance crisis. The term “antibiotic resistance” indicates the adaptable change or mutation found in some types of bacteria, which enables them to grow and survive in light of the presence of antibiotics that could originally kill or stop the growth of these pathogenic bacteria. According to the World Health Organization, it is also one of the biggest risks that emancipate global health, food security and development, and according to the study and in the study published in the ‘cell’ periodically, the researchers have developed an approach based on machine learning to identify antimicrobial peptides, and they have created a comprehensive and innovative catalog. The worrying increase in antibiotic -resistant bacteria has emerged as an urgent global health crisis, which requires the discovery of new antibiotics. Scientists are trying to discover new antibiotics to keep up with the rapid development of resistance pathogens. The antimicrobial peptides are small protein molecules that can kill or prevent the growth of harmful microorganisms, and are obtained from the various genetic substances of microorganisms in various environments around the world. The new approach is aimed at wide data that includes approximately 150,000 genes of living organisms that are probably a source of antibiotics. Promising results, using automatic learning techniques, have created researchers a ‘catalog’ that contains a large group of almost a million with antimicrobial peptide of bacteria. According to the researchers, this group of scientists and pharmaceutical businesses can help find new antibiotics faster. To ensure the practical importance of this catalog, the researchers synthesized and tested 100 peptide against a group of clinically relevant medicine -resistant pathogens and existed with human intestines. The results were promising, as 79 of the manufactured peptides showed an anti -microbial activity, of which 63 specifically targeted pathogenic bacteria, such as the breaker and coli -klaphes. Some peptides have also managed to disrupt bacterial membranes, a mechanism that makes it effective at a wide variety of bacteria, including the resistance to traditional antibiotics. The lead author of the study, Luis Pedro Coelho, a researcher at Queensland University Center for Microbium Studies, says there is an urgent need for new ways to discover new antibiotics, as bacteria against existing antibiotics resist “one of the biggest public health threats, which kills 1,27 million people each year.” Without intervention to solve this crisis, it is estimated that antimicrobial resistance can cause up to 10 million deaths annually by 2050. The team reaches machine forecasts by testing 100 with a laboratory tin against pathogens of clinical importance, and they found 79 bacterial membranes and 63 targeted bacteria. In addition, some peptides helped eliminate infection with the mice tested, and Coelho said: “Two especially the bacteria have reduced the size to 4 times.” In the pre -clinical model, tested on mice affected, the treatment of these peptides led to similar results as the effects of “polygic B”, a commercial antibiotic used to treat meningitis, pneumonia, infections and urinary tract infections. Coelho hopes that the use of artificial intelligence to understand the power of the global microbium, and the utilization of bringing about innovative research to achieve better public health results.