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A perspective on general direction and challenges facing antimicrobial peptides 被引量:4
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作者 Meng Zhu Peng Liu Zhong-Wei Niu 《Chinese Chemical Letters》 SCIE CAS CSCD 2017年第4期703-708,共6页
The emergence of drug resistant bacterium threatens the global public healthcare systems.The urgent need to obtain new antimicrobials has driven antimicrobial peptides(AMPs) research into spotlight.Here we give a br... The emergence of drug resistant bacterium threatens the global public healthcare systems.The urgent need to obtain new antimicrobials has driven antimicrobial peptides(AMPs) research into spotlight.Here we give a brief introduction of the recent progress of AMPs regarding their structures,properties,production and modification,and antimicrobial mechanism.Thereby,this review will give an insight into the trends and challenges facing on this particular kind of antimicrobial materials. 展开更多
关键词 Antimicrobial peptides(AMPs) Drug resistance Biomaterials Antimicrobial materials Antimicrobial mechanism
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Tyrosine-mediated analog resistive switching for artificial neural networks 被引量:1
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作者 Min-Kyu Song Seok Daniel Namgung +7 位作者 Hojung Lee Jeong Hyun Yoon Young-Woong Song Kang Hee Cho Yoon-Sik Lee Jong-Seok Lee Ki Tae Nam Jang-Yeon Kwon 《Nano Research》 SCIE EI CSCD 2023年第1期858-864,共7页
The fourth industrial revolution indispensably brings explosive data processing and storage;thus,a new computing paradigm based on artificial intelligence-enabling device structure is urgently required.Memristors have... The fourth industrial revolution indispensably brings explosive data processing and storage;thus,a new computing paradigm based on artificial intelligence-enabling device structure is urgently required.Memristors have received considerable attention in this regard because of their ability to process and store data at the same location.However,fundamental problems with abrupt switching characteristics limit their practical application.To address this problem,we utilized the concept of metaplasticity inspired by biosystems and observed gradual switching in the peptide-based memristor at high proton conductivity.An unexpectedly high slope value>1.7 in the logI–V curve at low voltage(≤400 mV)was considered the main origin,and it might arise from the modulatory response of proton ions on the threshold of Ag ion migration in the peptide film.With the obtained gradual switching property at high proton conductivity,the device showed significantly increased accuracy of image recognition(~82.5%).We believe that such a demonstration not only contributes to the practical application of neuromorphic devices but also expands the bioinspired functional synthetic platform. 展开更多
关键词 artificial synapse neuromorphic computing proton conductor peptide materials artificial neural network
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