Researchers used new techniques to study HDL particles, verifying the lipid bilayer structure and confirming a key finding about protein orientation. The study resolves a long-standing controversy over the structure of HDL, shedding light on its role in cardiovascular health.
A new sulfoxide hydrogel polymer enhances water levels in the eye while minimizing protein buildup, leading to softer lenses that are more comfortable and breathable. Clinical trials have begun for these innovative contact lenses, which could become available as early as next year.
Protein folding research is undergoing explosive growth, revealing secrets of spontaneous self-assembly process, according to an editorial by Jay Winkler and Harry Gray. The study focuses on chemical kinetics and includes real-time observations, advancing efforts to design new drugs and decode genetic information.
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Researchers successfully engineered a hybrid enzyme with improved substrate specificity, demonstrating the potential of recombining subdomains to generate novel functions. The study presents a method for generating hybrid genes by combining subdomain segments from diverse proteins.
A protein called osteogenic protein-1 (OP-1) may speed the recovery of stroke patients by rewiring damaged brain cells. The experiment used rats and showed that OP-1 helped them recover lost movement in their limbs quickly, outperforming those in a control group.
Scientists have found that parts of the protein shell of the common cold virus flap open in a motion called "breathing", which can be stifled by compounds that stop viruses from infecting cells. This discovery could lead to rapid screening methods for antiviral drugs.
Researchers at the University of Notre Dame discovered that Factor VII deficient mice embryos developed normally throughout gestation, despite suffering fatal perinatal bleeding after birth. The study suggests a new avenue for exploration of coagulation proteins' role in embryonic development.
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A new software developed by Ohio University researchers reduces amino acid sequence misidentification rates by at least twice, combining human intelligence with automated systems. The software aims to minimize time spent on identifying protein sequences, improving accuracy and efficiency in biochemistry research.