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Scientists reconstruct structure of the dopamine system to unravel its role in addictions and Parkinson’s diseaseThe structure of a neurotransmitter such as dopamine determines ... they show how many molecules bind to the dopamine transporter (DAT). This protein is in charge of recovering dopamine once it has ...
Our bodies have to sense our environment, and receptors are one part of the sensory experience of the body. Receptors, such as those in taste buds... | Cell And Molecular Biology ...
Semaglutide, a synthetic analog of glucagon-like peptide-1 (GLP-1), has garnered attention for its intriguing properties and potential implications in various r ...
Mechanical stress can strongly influence the capability of a protein to aggregate and the kinetics of aggregation, but there is little insight into the underlying mechanism. Here we study the effect ...
GPCRs (G protein-coupled receptors), also known as 7 transmembrane domain receptors, are the largest receptor family in the human genome, with ≈800 members. GPCRs regulate nearly every aspect of human ...
The glucagon-like peptide-1 receptor (GLP-1R) is a key regulator of blood glucose and a prime target for the treatment of type II diabetes and obesity with multiple public drugs. Here we present a ...
Protein also increased levels of cholecystokinin and glucagon-like peptide-1 (GLP-1), two hormones responsible for digestion and signaling fullness.
Research has found that eating protein can enhance the release of GLP-1 in your body, but it’s unlikely that it will be to the same levels that you would get if you took a medication like Ozempic.
Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein ...
Typically, figuring out the structure involves laborious biochemistry to purify the protein, followed by a number of imaging techniques to determine where each of its atoms resides. But in theory ...
Predicting proteins’ structure from their amino acid sequences had stumped researchers since the 1970s. But in 2020, Hassabis and Jumper developed an artificial intelligence model called AlphaFold2.
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