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    • 3. 发明申请
    • Method and Products For the Selective Degradation of Proteins
    • 蛋白质选择性降解的方法和产品
    • US20080139467A1
    • 2008-06-12
    • US10591109
    • 2005-03-03
    • John ColyerMoninder Singh Bhogal
    • John ColyerMoninder Singh Bhogal
    • A61K38/00C12N5/06C07K14/00C12N9/50A61P9/00C12N15/11C12N15/00A61K31/70
    • B82Y5/00A61K47/66
    • The present invention provides a method of controlling levels/concentrations of a target moiety. The method of the present invention includes introducing into a cell a product comprising at least one of each of the following modules: a targeting module, a destruction module and a replacement module. The method further comprises targeting the target moiety with the targeting module so that the destruction module can effect degradation of the target moiety and replacing the target moiety with a replacement: module. The replacement module may be either a modified form of the target moiety itself or a functional unit which restores normal metabolic activity of the cell. The present invention also a destruction module and a replacement module, nucleic acids encoding the products and vectors. The present invention also provides for use of the method and products in treating various clinical disorders.
    • 本发明提供了一种控制目标部分的水平/浓度的方法。 本发明的方法包括向单元中引入包括以下各个模块中的至少一个的产品:瞄准模块,销毁模块和更换模块。 该方法还包括用目标模块靶向靶部分,使得破坏模块可以实现靶部分的降解并用替换:模块代替靶部分。 替代模块可以是目标部分本身的修饰形式或恢复细胞的正常代谢活性的功能单元。 本发明还涉及一种破坏模块和替换模块,其编码产品和载体的核酸。 本发明还提供了用于治疗各种临床疾病的方法和产品。
    • 7. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATED PART-NUMBER MAPPING
    • 自动化零件编号的系统与方法
    • US20080215511A1
    • 2008-09-04
    • US12062607
    • 2008-04-04
    • Ghassan CHIDIACJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wab Wong
    • Ghassan CHIDIACJayant R. KalagnanamMoninder SinghSudhir VermaFabio Dennis WhiteMichael D. PatekYuk Wab Wong
    • G06F15/18
    • G06Q10/087G06Q10/0875G06Q20/203
    • Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process.
    • 与由BOM发起者提交的材料清单(BOM)中的部件相关联的部件号与BOM接收器分配给这些部件的内部部件号的自动映射由一个或多个连接到一个或多个网络的计算机通过一个或多个 网络接口。 第一接收组件接收一个或多个数据集,其中包含由BOM接收机过去接收到的材料单上的历史数据。 第二接收组件接收一个或多个包含由BOM接收机使用的内部部件号之间的已知映射的数据集,以及由各种BOM发起者使用的部件号。 第三个接收组件接收包含各种参数信息的一个或多个数据集及其描述BOM接收机已分配内部部件号的部件的值。 第四接收组件接收一种或多种自动学习模型的方法,用于从上述历史BOM数据,映射数据和部分参数数据中预测内部部件号。 学习组件从数据中学习模型。 第五个接收组件从请求进程接收BOM。 BOM有一个或多个缺少内部零件号的零件。 映射组件将所学习的模型应用于接收到的BOM,以自动确定所有未映射BOM始发器部件号的内部部件号。 释放过程将内部部件号分配给BOM中的所有未映射部分,并将BOM释放到请求进程。
    • 9. 发明申请
    • METHOD AND KNOWLEDGE STRUCTURES FOR REASONING ABOUT CONCEPTS, RELATIONS, AND RULES
    • 关于概念,关系和规则的方法和知识结构
    • US20090055342A1
    • 2009-02-26
    • US12261541
    • 2008-10-30
    • Leiguang GONGLeora MORGENSTERNErik T. MUELLERDoug RIECKENMoninder SINGH
    • Leiguang GONGLeora MORGENSTERNErik T. MUELLERDoug RIECKENMoninder SINGH
    • G06N5/02G06F15/16
    • G06N5/04Y10S707/99935
    • A system and method for reasoning about concepts, relations and rules having a semantic network comprising at least one node from a predetermined set of node types, at least one link from a predetermined set of link types, and zero or more rules from a predetermined set of rule types, a subset of the rule types being matching rule types, each node and each link being associated with a set of zero or more rules; a network reasoning data structure having a reasoning type database having at least one regular expression, each of the regular expressions being a class of sequences having at least three node types and two link types, wherein the network reasoning data structure further has a context being a set of rules; and a reasoning engine having an activator for activating one or more activated paths in the semantic network, the set of activated paths having a common starting node in the semantic network, wherein the reasoning engine further has a validator for selecting a subset of the activated paths being valid paths, each rule from the set of rule matching types that is associated with one or more path elements on each valid path being matched by one or more rules in the context and wherein the reasoning engine further has a legal inferencer for selecting a subset of the set of valid paths being legal and valid paths, the legal and valid paths matching at least one of the regular expressions.
    • 一种用于推理具有语义网络的概念,关系和规则的系统和方法,所述概念,关系和规则包括来自预定的一组节点类型的至少一个节点,来自预定的一组链路类型的至少一个链路以及来自预定集合的零个或多个规则 规则类型的一部分,规则类型的一部分是匹配规则类型,每个节点和每个链接与一组零个或多个规则相关联; 具有至少一个正则表达式的推理类型数据库的网络推理数据结构,每个正则表达式是具有至少三种节点类型和两种链接类型的序列类别,其中所述网络推理数据结构还具有上下文为 一套规则; 以及具有用于激活所述语义网络中的一个或多个激活路径的激活器的推理引擎,所述激活路径集合具有所述语义网络中的公共起始节点,其中所述推理引擎还具有用于选择所述激活路径的子集的验证器 作为有效路径,来自与在上下文中的一个或多个规则匹配的每个有效路径上的一个或多个路径元素相关联的规则匹配类型的集合中的每个规则,并且其中所述推理引擎还具有用于选择子集的合法参考 的有效路径集合是合法且有效的路径,合法和有效路径与至少一个正则表达式匹配。