<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fu, Tianda</style></author><author><style face="normal" font="default" size="100%">Liu, Xiaomeng</style></author><author><style face="normal" font="default" size="100%">Gao, Hongyan</style></author><author><style face="normal" font="default" size="100%">Ward, Joy E</style></author><author><style face="normal" font="default" size="100%">Liu, Xiaorong</style></author><author><style face="normal" font="default" size="100%">Yin, Bing</style></author><author><style face="normal" font="default" size="100%">Wang, Zhongrui</style></author><author><style face="normal" font="default" size="100%">Zhuo, Ye</style></author><author><style face="normal" font="default" size="100%">Walker, David J F</style></author><author><style face="normal" font="default" size="100%">Joshua Yang, J</style></author><author><style face="normal" font="default" size="100%">Chen, Jianhan</style></author><author><style face="normal" font="default" size="100%">Lovley, Derek R</style></author><author><style face="normal" font="default" size="100%">Yao, Jun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Bioinspired bio-voltage memristors.</style></title><secondary-title><style face="normal" font="default" size="100%">Nat Commun</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Nat Commun</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Action Potentials</style></keyword><keyword><style  face="normal" font="default" size="100%">Biosensing Techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">Electricity</style></keyword><keyword><style  face="normal" font="default" size="100%">Electronics</style></keyword><keyword><style  face="normal" font="default" size="100%">Equipment Design</style></keyword><keyword><style  face="normal" font="default" size="100%">Geobacter</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Dynamics Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Nanotechnology</style></keyword><keyword><style  face="normal" font="default" size="100%">Nanowires</style></keyword><keyword><style  face="normal" font="default" size="100%">Neural Networks, Computer</style></keyword><keyword><style  face="normal" font="default" size="100%">Neurons</style></keyword><keyword><style  face="normal" font="default" size="100%">Synapses</style></keyword><keyword><style  face="normal" font="default" size="100%">Wearable Electronic Devices</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020 Apr 20</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">1861</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Memristive devices are promising candidates to emulate biological computing. However, the typical switching voltages (0.2-2 V) in previously described devices are much higher than the amplitude in biological counterparts. Here we demonstrate a type of diffusive memristor, fabricated from the protein nanowires harvested from the bacterium Geobacter sulfurreducens, that functions at the biological voltages of 40-100 mV. Memristive function at biological voltages is possible because the protein nanowires catalyze metallization. Artificial neurons built from these memristors not only function at biological action potentials (e.g., 100 mV, 1 ms) but also exhibit temporal integration close to that in biological neurons. The potential of using the memristor to directly process biosensing signals is also demonstrated.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">https://www.ncbi.nlm.nih.gov/pubmed/32313096?dopt=Abstract</style></custom1></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Siegrist, M Sloan</style></author><author><style face="normal" font="default" size="100%">Whiteside, Sarah</style></author><author><style face="normal" font="default" size="100%">Jewett, John C</style></author><author><style face="normal" font="default" size="100%">Aditham, Arjun</style></author><author><style face="normal" font="default" size="100%">Cava, Felipe</style></author><author><style face="normal" font="default" size="100%">Bertozzi, Carolyn R</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">(D)-Amino acid chemical reporters reveal peptidoglycan dynamics of an intracellular pathogen.</style></title><secondary-title><style face="normal" font="default" size="100%">ACS Chem Biol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">ACS Chem. Biol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Alanine</style></keyword><keyword><style  face="normal" font="default" size="100%">Click Chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Listeria monocytogenes</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Conformation</style></keyword><keyword><style  face="normal" font="default" size="100%">Molecular Dynamics Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Peptidoglycan</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013 Mar 15</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">500-5</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Peptidoglycan (PG) is an essential component of the bacterial cell wall. Although experiments with organisms in vitro have yielded a wealth of information on PG synthesis and maturation, it is unclear how these studies translate to bacteria replicating within host cells. We report a chemical approach for probing PG in vivo via metabolic labeling and bioorthogonal chemistry. A wide variety of bacterial species incorporated azide and alkyne-functionalized d-alanine into their cell walls, which we visualized by covalent reaction with click chemistry probes. The d-alanine analogues were specifically incorporated into nascent PG of the intracellular pathogen Listeria monocytogenes both in vitro and during macrophage infection. Metabolic incorporation of d-alanine derivatives and click chemistry detection constitute a facile, modular platform that facilitates unprecedented spatial and temporal resolution of PG dynamics in vivo.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/23240806?dopt=Abstract</style></custom1></record></records></xml>