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您的检索式：作者名="Fernando Ramirez"
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| 1 | Kinetics of the H+-ATPase from Dry and 5-Hours- Imbibed Maize Embryos in Its Native, Solubilized, and Reconstituted Forms显示文摘膜在种子萌芽在水和之上经历恢复。以前的工作描述了从玉米胚胎的血浆膜 H+-ATPase 在 0 和 5 点采用二种不同形式 ? 吸收的 h。我们调查了这二种形式的动力学怎么能被改变在血浆膜(下午) 影响。与 0-h 相比,从 5-h 的下午吸入胚胎在 glycerophospholipid 作文,在漏的减少,和流动性的增加的显示出的变化。从 0 的 PM H+-ATPase 和 5-h 的动力学吸入胚胎显示出的否定 cooperativity。与膜环境的移动,酶的活动变了到更复杂的动力学,显示二个酶部件。类脂化合物宪法与积极 cooperativity 生产了一个部件。在所有情况,从 0 的酶和 5-h 中,吸入的胚胎与一些量的差别介绍了类似的动力学。这些结果显示二种酶形式有潜在的能力在膜环境,而是事实回答他们不在 0 或 5 点在本国的膜显示出差别到变化? h 暗示在膜的修正不是足够激烈的改变他们的动力学,或他们能保存他们的边界类脂化合物或联系蛋白质并且因此保留一样的运动行为。 | Sobeida Sanchez-Nieto Consuelo Enriquez-Arredondo Fernando Guzmbn-Chavez Rolando Hern&ndez-Munoz Jorge Ramirez Marina Gavilanes-Ruiz | 2011 | Molecular Plant2011，4，3： | 2 |
| 2 | Incidence of vitreoretinal pathologic conditions with in 24 months after laser in situ keratomileusis显示文摘 | Fernando JA Ramirez E Suarez E | 2000 | Ophthalmology2000，107，2： | 1 |
| 3 | Hypoxia-induced changes in neuronal network properties 显示文摘 | Fernando P Ramirez JM | 2005 | Mol Neurobiol2005，32，3： | 1 |
| 4 | SJHD14093000000250显示文摘 | Caroline Marcantonio Ferreira Angélica Thomaz Vieira Marco Aurelio Ramirez Vinolo Fernando A. Oliveira Rui Curi Flaviano dos Santos Martins Borja Sánchez | 2014 | Journal of Immunology Research2014，，： | 1 |
| 5 | Data driven discovery of conjugated polyelectrolytes for optoelectronic and photocatalytic applications显示文摘Conjugated polyelectrolytes(CPEs),comprised of conjugated backbones and pendant ionic functionalities,are versatile organic materials with diverse applications.However,the myriad of possible molecular structures of CPEs render traditional,trial-and-error materials discovery strategy impractical.Here,we tackle this problem using a data-centric approach by incorporating machine learning with high-throughput first-principles calculations.We systematically examine how key materials properties depend on individual structural components of CPEs and from which the structure–property relationships are established.By means of machine learning,we uncover structural features crucial to the CPE properties,and these features are then used as descriptors in the machine learning to predict the properties of unknown CPEs.Lastly,we discover promising CPEs as hole transport materials in halide perovskite-based optoelectronic devices and as photocatalysts for water splitting.Our work could accelerate the discovery of CPEs for optoelectronic and photocatalytic applications. | Yangyang Wan Fernando Ramirez Xu Zhang Thuc-Quyen Nguyen Guillermo C.Bazan Gang Lu | 2021 | npj Computational Materials2021，，1： | 0 |
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