Scientists at the University of Pennsylvania have developed a machine-learning algorithm that uses genetic code to automatically digest proteins that are highly chemically complex.
The new algorithm, which is described in the Proceedings of the National Academy of Sciences, uses a novel mathematical approach to make proteins digestible by “bioactive” interactions between proteins and enzymes.
The work has been funded by the National Science Foundation.
The algorithm works by analyzing protein structures in bacteria and compares them to protein structures from a human and an animal.
Scientists have used machine learning algorithms to make protein digestible before, but it is rare to find a machine learning algorithm that can make proteins more digestable than what is available in nature, said lead author Dr. Andrew S. Hern of the University’s Institute of Medical Engineering and Science.
“We are making a contribution to a field that is still in its infancy, where machine learning is often very good but very challenging to use in human health care,” he said.
The researchers identified proteins that have specific metabolic pathways that could be used to improve the efficiency of enzymes, or make them more efficient.
The proteins are also used in animal models, where it is not uncommon for proteins to be made more digestibly.
“This is a significant step forward in understanding the biology of protein digestibility,” said Dr. Joseph E. Miller, associate director of the Center for Genomic Medicine at the National Institutes of Health, in a statement.
“Our research demonstrates that protein digestability is a complex biological system that has many pathways,” said study co-author Dr. Robert M. Schiappa, a professor of molecular biology and cell biology at the Johns Hopkins University School of Medicine.
The algorithm developed by the researchers is based on a computer model, which uses genetic information to predict the protein’s activity, protein structure, and other attributes.
The model uses a series of statistical methods to identify proteins with specific metabolic and metabolic-related pathways that may be important for their protein’s digestion.
The method is similar to that used by researchers who have used artificial intelligence (AI) to design algorithms to digest protein.
However, this is the first time the researchers have been able to make a model based on actual protein digestion.
“The algorithms we are using are not very sophisticated,” Dr. Miller said.
“They are more like human models.
Understanding the protein metabolism is important to the human body,” said co-lead author Drs. “
The researchers plan to develop the algorithm further to determine how the algorithms will work in the real world.”
Understanding the protein metabolism is important to the human body,” said co-lead author Drs.
About this article(s)The study, “Biological systems that can break down protein,” was published in the March 12 issue of the Proceedings, Proceedings of National Academy”
Understanding how these mechanisms work is important for the human health.”
About this article(s)The study, “Biological systems that can break down protein,” was published in the March 12 issue of the Proceedings, Proceedings of National Academy