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    • 7. 发明申请
    • Combinatorial protein library screening by periplasmic expression
    • 组织蛋白质文库筛选周质表达
    • US20060029947A1
    • 2006-02-09
    • US11084055
    • 2005-03-18
    • George GeorgiouKi JeongBrent Iverson
    • George GeorgiouKi JeongBrent Iverson
    • C40B40/02C12Q1/68G01N33/53C12P21/06C12N15/74
    • C12N15/1086C07K2319/02C07K2319/03C07K2319/034C07K2319/21C12N15/1037C40B40/02G01N33/5082G01N33/56911G01N33/6803
    • The invention overcomes the deficiencies of the prior art by providing a rapid approach for isolating binding proteins capable of binding small molecules and peptides. In the technique, libraries of candidate binding proteins, such as antibody sequences, may be expressed in the periplasm of gram negative bacteria with at least one target ligand. In clones expressing recombinant polypeptides with affinity for the ligand, the ligand becomes bound and retained by the cell even after removal of the outer membrane, allowing the cell to be isolated from cells not expressing a binding polypeptide with affinity for the target ligand. The target ligand may be detected in numerous ways, including use of direct fluorescence or secondary antibodies that are fluorescently labeled, allowing use of efficient screening techniques such as fluorescence activated cell sorting (FACS). The approach is more rapid and robust than prior art methods and avoids problems associated with the outer surface-expression of ligand fusion proteins employed with phage display.
    • 本发明通过提供用于分离能够结合小分子和肽的结合蛋白的快速方法来克服现有技术的缺陷。 在该技术中,候选结合蛋白(例如抗体序列)的文库可以用至少一种靶配体在革兰氏阴性细菌的周质中表达。 在表达具有对配体具有亲和力的重组多肽的克隆中,甚至在去除外膜之后,配体也被细胞结合并保留,使细胞从不表达具有对靶配体的亲和力的结合多肽的细胞中分离。 可以以多种方式检测靶配体,包括使用荧光标记的直接荧光或二次抗体,允许使用有效的筛选技术,例如荧光激活细胞分选(FACS)。 该方法比现有技术方法更快速和鲁棒,并且避免与用噬菌体展示使用的配体融合蛋白的外表面表达相关的问题。
    • 9. 发明申请
    • Method of and system for evaluating tactile sensations of car seat covers using artificial neural network
    • 使用人工神经网络评估汽车座椅套的触感的方法和系统
    • US20070085826A1
    • 2007-04-19
    • US11302406
    • 2005-12-12
    • Jung NohKi JeongJoo KimBaek Park
    • Jung NohKi JeongJoo KimBaek Park
    • G09G5/08
    • B60N2/58
    • Disclosed herein is a method of and system for evaluating tactile sensations of car seat covers using an artificial neural network, in which mechanical and thermal/physiological characteristics of the seat covers is measured with a measuring system, the physical quantity of the measured characteristics is acquired, and then the acquired physical quantity is converted into the amount of tactile qualities which a person feels using a statistical recursive model, thereby quantitatively evaluating tactile sensations of sticky, soft, elastic, coolness to the touch, and thermal and humid in case of car seat covers made of leather, and tactile sensations of soft, elastic, voluminous, smooth, coolness to the touch, and thermal and humid in case of car seat covers made of cloth, as well as quantitatively evaluating tactile sensations of sporty and high-class of the leather and cloths using an artificial neural network model.
    • 本发明公开了一种使用人造神经网络评估汽车座椅罩的触感的方法和系统,其中用测量系统测量座椅罩的机械和热/生理特性,获得测量特性的物理量 ,然后将获得的物理量转换为人们使用统计递归模型的触觉质量,从而定量评估粘性,柔软,弹性,凉爽触觉的触感,以及汽车情况下的热湿度 由皮革制成的座椅套,以及柔软,弹性,体积大,光滑,凉爽触感的触觉,以及用布制成的汽车座椅套的热湿度,以及定量评估运动型和高级别的触觉感觉 的皮革和布料使用人造神经网络模型。