A research team has engineered the nonconventional yeast Yarrowia lipolytica to produce cannabinoids and their analogs, offering a sustainable alternative to plant extraction.

A team of researchers has uncovered how subtle structural changes in terpene synthases can dramatically improve the biosynthesis of miltiradiene, a critical intermediate in the production of pharmacologically valuable compounds such as tanshinone IIA, triptolide, and carnosic acid.

A research team has developed an innovative platform for producing lactate-based biodegradable plastics by harnessing a phosphite dehydrogenase (PtxD)-driven NADH regeneration system in Escherichia coli.

A research team has developed the first reported bioproduction method for 3,4-methylenedioxymethamphetamine (MDMA, commonly known as Ecstasy) and related methamphetamine derivatives using a combination of yeast-based bioconversion, biocatalysis, and chemical reduction.

Abstract

A team of scientists from  School of Physics and Astronomy at Queen Mary University of London has developed a novel artificial intelligence method that could revolutionize our understanding of the universe's most mysterious shapes. Using advanced machine learning, researchers can now explore complex geometric spaces, like the fabric of spacetime itself, without relying on traditional symmetry assumptions.

This new algorithm, called AInstein, tackles one of the most complex puzzles in physics and mathematics: finding the precise shape of space under Einstein field equations. Remarkably, it can do so on spaces as intricate as higher-dimensional spheres, opening new avenues for discovery and shedding light on our understanding of the universe.