公开(公告)号：US20160296312A1

公开(公告)日：2016-10-13

申请号：US15035825

申请日：2014-12-16

Applicant: OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL CORPORATION

Inventor： Bernd KUHN ,  Christopher Joel ROOME

IPC: A61D7/00 ,  A61B46/20 ,  A61F13/12 ,  A61B5/00

CPC classification number: A61D7/00 ,  A61B5/0042 ,  A61B5/0082 ,  A61B5/4064 ,  A61B5/6814 ,  A61B5/6868 ,  A61B46/20 ,  A61B2090/103 ,  A61B2503/40 ,  A61B2503/42 ,  A61D1/00 ,  A61F13/12

Abstract: A cranial window with an accessing port for medical research includes a sheet-shaped member configured to be installed as a cranial window on an outer brain skin of an animal subject through an opening in a skull, the sheet-shaped member having an optically transparent window therein or in entirety thereof to allow optical imaging into a brain of the animal subject; and an access port in the sheet-shaped member for allowing sterile insertion and removal of an accessing member having a sharp tip, the access port being configured to be self-sealing when the accessing member is removed.

Abstract translation: 具有用于医学研究的入口的颅窗包括被构造成通过头骨中的开口安装在动物对象的外脑皮层上作为颅窗的片状构件，所述片状构件具有光学透明窗 在其中或全部，以允许光学成像到动物对象的脑中; 以及所述片状构件中的入口，用于允许无菌地插入和移除具有尖锐尖端的通道构件，所述进入端口构造成当所述存取构件被移除时自密封。

公开(公告)号：US09137122B2

公开(公告)日：2015-09-15

申请号：US13876283

申请日：2011-03-31

Applicant: Hiroaki Kitano ,  Yukiko Matsuoka ,  Samik Ghosh

Inventor： Hiroaki Kitano ,  Yukiko Matsuoka ,  Samik Ghosh

IPC: H04L12/24 ,  G06F17/30 ,  G06F19/12 ,  G06F19/26 ,  G06F19/28

CPC classification number: H04L41/22 ,  G06F17/30958 ,  G06F19/12 ,  G06F19/26 ,  G06F19/28

Abstract: The present invention involves retrieving edges that do not constitute a designated network model which is a network model designated by a user and are linked to nodes that constitute the designated network model, displaying retrieval results that include the retrieved edges and network model IDs corresponding to the edges in a selectable manner, and generating an integrated network model in which, when the retrieval results are selected by the user, the edges that are included in the selected retrieval results and the nodes that do not constitute the designated network model and are linked to the edges, are integrated into the designated network model.

Abstract translation: 本发明涉及检索不构成作为由用户指定的网络模型的指定网络模型的边缘，并且链接到构成指定网络模型的节点，显示包括检索到的边缘的检索结果和对应于该网络模型ID的网络模型ID 边缘，并且生成集成网络模型，其中当用户选择检索结果时，包括在所选择的检索结果中的边缘和不构成指定网络模型的节点被链接到 边缘被集成到指定的网络模型中。

公开(公告)号：US20150246927A1

公开(公告)日：2015-09-03

申请号：US14431935

申请日：2013-10-04

Applicant: OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL CORPORATION

Inventor： Hai-Lei Cui ,  Fujie Tanaka

IPC: C07D491/107

CPC classification number: C07D491/107

Abstract: Disclosed is a compound of formula I: wherein R1?, R2?, R3?, R4?, R5?, n and m are defined herein. The compound of formula I is prepared by a concise, catalytic enantioselective formal hetero-Diels-Alder (hDA) reactions of enones with isatins and is useful for making pharmaceutical composition for the treatment of proliferative diseases.

Abstract translation: 公开了式I的化合物：其中R 1，R 2，R 3，R 4，R 5，n和m如本文所定义。 式I的化合物通过烯酮与异硬脂酸酯的简明的催化对映选择性形式的异二聚体 - 狄尔斯（hDA）反应制备，并且可用于制备用于治疗增殖性疾病的药物组合物。

公开(公告)号：US20150169822A1

公开(公告)日：2015-06-18

申请号：US14407835

申请日：2013-06-13

Applicant: Okinawa Institute of Science and Technology Graduate University ,  The Systems Biology Institute

Inventor： Hiroaki Kitano ,  Kun-yi Hsin ,  Samik Ghosh

IPC: G06F19/16 ,  C40B30/02

CPC classification number: G16B15/00 ,  G16B35/00 ,  G16C20/60

Abstract: The present invention acquires compound structure data and candidate protein structure data on a candidate protein serving as a candidate for interaction with the compound. The present invention calculates a binding strength between the candidate protein and the compound using a docking simulation method, determines a predicted binding strength corresponding to the binding strength predicted by making a comprehensive evaluation of the binding strength, and determines a predicted protein corresponding to the candidate protein predicted to interact with the compound. The present invention calculates an interaction strength using a binding strength simulation method and determines a predicted interaction strength corresponding to the interaction strength predicted by making the comprehensive evaluation of the interaction strength.

Abstract translation: 本发明获得作为与化合物相互作用的候选物的候选蛋白质的化合物结构数据和候选蛋白质结构数据。 本发明使用对接模拟方法计算候选蛋白质和化合物之间的结合强度，通过综合评价结合强度来确定与预测的结合强度相对应的预测结合强度，并确定与候选蛋白相对应的预测蛋白质 蛋白质预测与化合物相互作用。 本发明使用结合强度模拟方法计算相互作用强度，并通过综合评价相互作用强度来确定与预测的相互作用强度对应的预测相互作用强度。

公开(公告)号：US08468189B2

公开(公告)日：2013-06-18

申请号：US12513943

申请日：2007-11-08

Applicant: Ozan Öktem ,  Hans Rullgàrd ,  Johan Lagerros ,  Lars-Göran Öfverstedt ,  Anders Edin

Inventor： Ozan Öktem ,  Hans Rullgàrd ,  Johan Lagerros ,  Lars-Göran Öfverstedt ,  Anders Edin

IPC: G06F7/38

CPC classification number: G06F17/11 ,  G01N23/046 ,  G01N2223/419 ,  G06T11/006 ,  G06T2211/424

Abstract: The present invention relates to a solution for solving an ill-posed inverse problem in image analysis, e.g. in an electron tomography application in order to recover a structure of a sample. The solution is provided for instance as a method comprising steps of determining reliable prior knowledge about the solution, determining initial guess for the solution and determining the corresponding forward operator, deciding upon model of stochasticity, deciding on suitable regularization method, deciding on updating scheme, and producing a sequence using the set configuration.

Abstract translation: 本发明涉及一种用于解决图像分析中不正确的逆问题的解决方案，例如， 在电子断层摄影应用中以便恢复样品的结构。 该解决方案例如作为一种方法，包括以下步骤：确定关于解的可靠的先验知识，确定解的初始猜测和确定相应的前向运算符，确定随机模型，确定适当的正则化方法，确定更新方案， 并使用设置配置生成序列。

公开(公告)号：US20130079900A1

公开(公告)日：2013-03-28

申请号：US13702215

申请日：2011-03-31

Applicant: Hiroaki Kitano

Inventor： Hiroaki Kitano

IPC: G05B13/04

CPC classification number: G05B13/042 ,  C12M47/04 ,  G06Q10/00 ,  G16B40/00

Abstract: The present invention sets, for each cells or each condition, a production output of the cells or the biomass based on the measured data and a variable indicating an extent of variation of the production output, calculates a variable range of the production output and the variable in case of combining the multiple cells or conditions based on the production output and the variable set, and calculates an optimum combination within the variable range by using an optimization method.

Abstract translation: 本发明基于测定数据，针对各单元或各条件设定单元或生物量的生产量，以及表示生产输出的变化程度的变量，计算生产输出的可变范围和变量 在基于生产输出和变量组合多个单元格或条件的情况下，并且通过使用优化方法来计算可变范围内的最佳组合。