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AI System Generates Novel Proteins Meeting Structural Design Targets miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar mechanical properties to existing materials, like polymers, but which would have a much smaller carbon footprint. ....
The novel coronavirus (SARS-CoV-2) pandemic resulted in the largest public health crisis in recent times. Significant drug design effort against SARS-CoV-2 is focused on the receptor-binding domain (RBD) of the spike protein, although this region is highly prone to mutations causing therapeutic resistance. We applied deep data analysis methods on all-atom molecular dynamics simulations to identify key non-RBD residues that play a crucial role in spike−receptor binding and infection. Because the non-RBD residues are typically conserved across multiple coronaviruses, they can be targeted by broad-spectrum antibodies and drugs to treat infections from new strains that might appear during future epidemics.
The MD trajectories are available from Zenodo at [doi.org/10.528c1/zenodo.5052691][1]. The codes and the residue correlation data used in this study are available from GitHub at <https://github.com/dhimanray/COVID-19-correlation-work>. All further details about the methods ....
David Julius and Ardem Patapoutian won this year s Nobel Prize in Physiology or Medicine for their research on the ion channels involved in perceiving heat, cold, pain, and touch. ....
A team led by Dr. Jorge Alegre-Cebollada has shown, for the first time, an association between hypertrophic cardiomyopathy and mechanical alterations to a component of the contractile machinery of the heart ....