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作者:[Anonymous]
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作者:Hwang, Cheinway; Yu, Daocheng
作者单位:National Yang Ming Chiao Tung University; Liaoning Technical University
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作者:Brainard, Jeffrey
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作者:Akiki, Rose Marie; Cornbrooks, Rebecca G.; Magami, Kosuke; Greige, Alain; Snyder, Kirsten K.; Wood, Daniel J.; Herrington, Mary Claire; Mace, Philip; Blidy, Kyle; Koike, Nobuya; Berto, Stefano; Cowan, Christopher W.; Taniguchi, Makoto
作者单位:Medical University of South Carolina; Medical University of South Carolina; Kyoto Prefectural University of Medicine
摘要:Emotional experiences often evoke neural plasticity that supports adaptive changes in behavior, including maladaptive plasticity associated with mood and substance use disorders. These adaptations are supported in part by experience-dependent activation of immediate-early response genes, such as Npas4 (neuronal PAS domain protein 4). Here we show that a conserved long noncoding enhancer RNA (lnc-eRNA), transcribed from an activity-sensitive enhancer, produces DNA:RNA hybrid R-loop structures t...
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作者:Brainard, Jeffrey
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作者:Meduna, Veronika
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作者:Normile, Dennis
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作者:[Anonymous]
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作者:Chen, Zibo; Linton, James M.; Xia, Shiyu; Fan, Xinwen; Yu, Dingchen; Wang, Jinglin; Zhu, Ronghui; Elowitz, Michael B.
作者单位:Westlake Laboratory; Westlake University; California Institute of Technology; California Institute of Technology; Howard Hughes Medical Institute
摘要:Artificial neural networks provide a powerful paradigm for nonbiological information processing. To understand whether similar principles could enable computation within living cells, we combined de novo-designed protein heterodimers and engineered viral proteases to implement a synthetic protein circuit that performs winner-take-all neural network classification. This perceptein circuit combines weighted input summation through reversible binding interactions with self-activation and mutual i...
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作者:Wu, Jianchang; Torresi, Luca; Hu, Manman; Reiser, Patrick; Zhang, Jiyun; Rocha-Ortiz, Juan S.; Wang, Luyao; Xie, Zhiqiang; Zhang, Kaicheng; Park, Byung-wook; Barabash, Anastasia; Zhao, Yicheng; Luo, Junsheng; Wang, Yunuo; Lueer, Larry; Deng, Lin-Long; Hauch, Jens A.; Guldi, Dirk M.; Perez-Ojeda, M. Eugenia; Seok, Sang Il; Friederich, Pascal; Brabec, Christoph J.
作者单位:University of Erlangen Nuremberg; Helmholtz Association; Karlsruhe Institute of Technology; Helmholtz Association; Karlsruhe Institute of Technology; Ulsan National Institute of Science & Technology (UNIST); Xiamen University; University of Electronic Science & Technology of China; University of Erlangen Nuremberg; University of Erlangen Nuremberg; University of Groningen
摘要:The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential but has not yet been realized. Current models rely on large data sets that generally do not exist for specialized research fields. We demonstrate a closed-loop workflow that combines high-throughput synthesis of organic semiconductors to create large datasets and Bayesian optimization to discover new hole-transporting materials with tailored properties for solar c...