Authors: George Rajna
Use of big data analysis techniques has been attracting attention in materials science applications, and researchers at The University of Tokyo Institute of Industrial Science realized that such techniques could be used to interpret much larger numbers of spectra than traditional approaches.  Researchers have mathematically proven that a powerful classical machine learning algorithm should work on quantum computers.  Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins.  A new method allows researchers to systematically identify specialized proteins that unpack DNA inside the nucleus of a cell, making the usually dense DNA more accessible for gene expression and other functions.  Bacterial systems are some of the simplest and most effective platforms for the expression of recombinant proteins.  Now, in a new paper published in Nature Structural & Molecular Biology, Mayo researchers have determined how one DNA repair protein gets to the site of DNA damage.  A microscopic thread of DNA evidence in a public genealogy database led California authorities to declare this spring they had caught the Golden State Killer, the rapist and murderer who had eluded authorities for decades.  Researchers at Delft University of Technology, in collaboration with colleagues at the Autonomous University of Madrid, have created an artificial DNA blueprint for the replication of DNA in a cell-like structure.  An LMU team now reveals the inner workings of a molecular motor made of proteins which packs and unpacks DNA.  Chemist Ivan Huc finds the inspiration for his work in the molecular principles that underlie biological systems.  What makes particles self-assemble into complex biological structures? 
Comments: 41 Pages.
[v1] 2018-09-06 06:57:56
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