See also stories tagged with Synthetic biology
Lipids, or fats, are essential to life. They form the membranes around cells, protecting them from the outside. In nature, there is an enormous diversity of lipids, with each organism having its own unique combination. But ...
Cyanobacteria, an ancient lineage of bacteria that perform photosynthesis, have been found to regulate their genes using the same physics principle used in AM radio transmission.
Amino acids are essential for nearly every process in the human body. Often referred to as "the building blocks of life," they are also critical for commercial use in products ranging from pharmaceuticals and dietary supplements, ...
Within all complex, multicellular living systems such as plants and humans, there exists a set of genetic elements that can be likened to the blueprints, tools, and specialized personnel at a construction site for an expanding ...
University of Queensland researchers are setting the agenda for breeding high yield, heat tolerant and disease-resistant crops and low emission cattle with excellent feed conversion efficiency as they search for the ultimate ...
A dog learns to sit on command, a person hears and eventually tunes out the hum of a washing machine while reading … The capacity to learn and adapt is central to evolution and, indeed, survival.
Computer scientists, bioengineers and AI specialists from the Arc Institute and Stanford University have developed an AI-based model capable of decoding and designing genetic sequences. In their paper published in the journal ...
Herbal medicine is difficult to produce on an industrial scale. A team of Kobe University bioengineers manipulated the cellular machinery in a species of yeast so that one such molecule can now be produced in a fermenter ...
Researchers from the UCLA Samueli School of Engineering and the University of Rome Tor Vergata in Italy have developed synthetic genes that function like the genes in living cells.
In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The review, published in MedComm—Future Medicine, ...
