Researchers used machine learning to identify potential new antibiotics against disease-causing bacteria in challenging species, reported a paper published in 2008. natural chemical biology May 25th.
This finding is important because of the increase in antimicrobial resistance and the struggle to identify new classes of antibiotics. It also reveals how machines could speed up the identification, discovery and testing of new antibiotics the world desperately needs, and potentially reduce the cost of this laborious process.
What is antimicrobial resistance?
Antimicrobial resistance is one of the great crises of the 21st century, driven by human activity like climate change and affecting the entire world, regardless of borders or origin. This refers to the ability of microbes to evolve to resist compounds that humans have developed to overpower them.
As a result, many drugs, especially antibiotics, become less effective or ineffective against disease-causing bacteria, allowing disease to spread again.
The global cost of antimicrobial resistance is expected to range from $300 billion to over $1 trillion annually. India has become a ‘hotspot’ of antimicrobial resistance due to overuse of antibiotics in humans and animals and inadequate disposal of pharmaceutical waste.
Efforts to develop new antibiotics are hampered by the fact that many existing compounds are derived from smaller groups. This means higher costs and longer timelines to identify new drugs that can push back the tide of resistance.
One promising route here is to use machine learning models that can be “taught” to look for molecules with properties that are considered desirable to fight certain types of bacteria. Such models can also sift through large datasets in a short period of time.
What is Acinetobacter baumannii?
MIT researchers looked for molecules to fight in their research. Acinetobacter baumannii bacteria. A. Baumani This means it has a protective outer membrane that allows it to resist antibiotics. It has been associated with nosocomial infections in India.
A. Baumani Even ten years ago, it was recognized as an “emergency alert” pathogen “mainly because of its remarkable ability to develop resistance to all currently available antibiotics.” This is still true today.
Recently, a Ministry of Biotechnology initiative launched a program to find compounds that could fight the virus. A. Baumaniamong five other pathogens.
In 2019, researchers at the Jawaharlal Nehru Center for Advanced Science Research reported that they had discovered a new molecule that appears to be potent against the following diseases: A. Baumani But the human cells were left alone. “Based on the in vitro studies, we feel that this molecule has immense potential to be developed as a future therapeutic agent,” said Jayanta Hardar, the study’s lead author. Hinduism at the time.
How did the MIT group find the compound?
First, the MIT group created a list of 7,684 molecules already known to inhibit bacterial growth. A. Baumani Research of biomolecules in the laboratory. They used these molecules to train machine learning models. Specifically, the model “learns” various related properties of each molecule and combines them into a single complex vector.
This vector was fed into a neural network, a system that learns information in a way inspired by the human brain, optimized for the antibacterial properties of each molecule. Finally, they applied the system to his database of 6,680 molecules to search for molecules that could fight. A. Baumani.
This step yielded a final list of 240 molecules after just a few hours. Researchers tested activity against them. A. Baumani Nine of them were found to inhibit bacterial growth by 80% or more. They narrowed down the list even further, removing molecules with structures that bacteria might be “familiar.”
They were left with Abausin.
“If you run a wet lab experiment based on the model predictions, the model will inevitably make both correct and incorrect predictions. We’ll retrain,” said John Stokes, an assistant professor of biochemistry at McMaster University in Ontario and one of the people behind the study. Hinduism. “Through this iterative retraining process, we can improve the predictive performance of our model.”
What is Abaucin?
Abaucin is known to impair the normal function of a protein called CCR2. One study author told CNN that the drug may have been originally developed to treat diabetes.
In their paper, the researchers wrote that abaucin exhibited “moderate bactericidal activity against A. baumannii” in media containing other compounds that the bacteria resist. They also found that when abaucin was removed from the medium, ” [six hours] treatment’, A. Baumani be revived.
“This experiment was done to verify that Abaucin does not sterilize bacterial cultures. in vitrosaid Dr. Stokes. “This was just another way to determine the effectiveness of abaucin in reducing bacterial cell viability in addition to traditional bacterial cell viability experiments.”
Abaucin is believed to work by interfering with lipoprotein transport in the body. A. Baumani. Lipoproteins are the molecular scaffolds required to transport fats within cells. Based on genetic studies, the researchers believe that abaucin may prevent lipoproteins produced inside the bacterium from translocating to the outer membrane.
Avosyn is also “species selective”. Abaucin only inhibits seed growth. A. BaumaniNo other Gram-negative bacteria. The authors write that this could be “at least in part” because: A. Baumani It uses a slightly different lipoprotein transport system.
what next?
The team plans to improve the model. “There will always be gaps in chemistry training datasets because you can only explore a finite region of chemical space,” says Dr. Stokes. “Therefore, we are focused on continuously collecting more robust training data to train our models and designing new types of models that can make robust predictions using less training data. must be placed.”
Team members are also “designing and testing” compounds that are chemically similar to abaucin to see if they are more potent against A. Baumani And to “enhance the efficacy”.
This is a premium article for subscribers only.To read 250+ premium articles every month
You have exhausted your free article limit. Please support quality journalism.
You have exhausted your free article limit. Please support quality journalism.
read {{data.cm.views}} from {{data.cm.maxViews}} free article.
This is the last free article.
