公开(公告)号：USD896507S1

公开(公告)日：2020-09-22

申请号：US29693059

申请日：2019-05-30

Applicant: Marc Jacobs Trademarks, LLC

Designer： Marc Jacobs

公开(公告)号：USD712273S1

公开(公告)日：2014-09-02

申请号：US29444017

申请日：2013-01-25

Applicant: Marc Jacobs Trademarks, L.L.C.

Designer： Marc Jacobs ,  Sayuri Shoji

公开(公告)号：US07666646B2

公开(公告)日：2010-02-23

申请号：US11242666

申请日：2005-10-04

Applicant: Marc Jacobs ,  Brian Hare ,  Lovorka Swenson

Inventor： Marc Jacobs ,  Brian Hare ,  Lovorka Swenson

IPC: C12N9/12

CPC classification number: G01N33/5748 ,  C07K2299/00 ,  C12N9/1205 ,  G01N33/573 ,  G01N33/6803 ,  G01N33/6842 ,  G01N2333/91205 ,  G01N2333/9121

Abstract: The present invention relates to the X-ray analysis of crystalline molecules or molecular complexes of human Pim-1. The present invention also relates to Pim-1-like binding pockets. The present invention provides a computer comprising a data storage medium encoded with the structure coordinates of such binding pockets. This invention also relates to methods of using the structure coordinates to solve the structure of homologous proteins or protein complexes. In addition, this invention relates to methods of using the structure coordinates to screen for and design compounds, including inhibitory compounds, that bind to Pim-1 protein, Pim-1 protein complexes, or homologues thereof. The invention also relates to crystallizable compositions and crystals comprising Pim-1 protein, Pim-1 protein complexes with adenosine, staurosporine or 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one and methods to produce these crystals.

Abstract translation: 本发明涉及人Pim-1的结晶分子或分子复合物的X射线分析。 本发明还涉及Pim-1样结合口袋。 本发明提供了一种计算机，其包括用这种结合口袋的结构坐标编码的数据存储介质。 本发明还涉及使用结构坐标来解决同源蛋白质或蛋白质复合物的结构的方法。 此外，本发明涉及使用结构坐标筛选和设计结合Pim-1蛋白，Pim-1蛋白复合物或其同系物的化合物（包括抑制性化合物）的方法。 本发明还涉及包含Pim-1蛋白，Pim-1蛋白复合物与腺苷，星形孢菌素或2-（4-吗啉基）-8-苯基-4H-1-苯并吡喃-4-酮的可结晶组合物和晶体以及产生 这些晶体。

公开(公告)号：USD453070S1

公开(公告)日：2002-01-29

申请号：US29139943

申请日：2001-04-10

Applicant: Marc Jacobs

Designer： Marc Jacobs

公开(公告)号：USD448145S1

公开(公告)日：2001-09-25

申请号：US29134850

申请日：2001-01-03

Applicant: Marc Jacobs

Designer： Marc Jacobs

公开(公告)号：USD448144S1

公开(公告)日：2001-09-25

申请号：US29128503

申请日：2000-08-28

Applicant: Marc Jacobs

Designer： Marc Jacobs

公开(公告)号：US09073808B1

公开(公告)日：2015-07-07

申请号：US14486382

申请日：2014-09-15

Applicant: Paul Su ,  Nicholas P Wynn ,  Marc Jacobs ,  Xiaotong Wei ,  Sylvie Thomas-Droz ,  Xuezhen Wang

Inventor： Paul Su ,  Nicholas P Wynn ,  Marc Jacobs ,  Xiaotong Wei ,  Sylvie Thomas-Droz ,  Xuezhen Wang

IPC: C07C7/144 ,  C07C7/09 ,  C07C7/00

CPC classification number: C07C7/144 ,  C07C7/005 ,  C07C7/09 ,  C07C11/02 ,  C07C11/04 ,  C07C11/06

Abstract: A process for recovering unreacted olefin in a polyolefin manufacturing process comprising the treatment of a purge bin vent gas. The process involves cooling and condensing the vent gas (purge stream), which contains at least an olefin, a paraffin, and nitrogen, to produce a liquid condensate and an uncondensed (residual) gas stream. Both streams are then passed through membrane separation steps. The membrane separation of the uncondensed gas stream results in a residue stream containing mostly nitrogen and/or paraffin and a permeate stream enriched in either C2+ hydrocarbons or olefin, depending on the type of separation. The permeate from this step is recirculated within the process prior to the condensation step. The membrane separation of the condensate results in a residue stream containing paraffin and a permeate stream enriched in olefin, which may be recycled to the polymerization reactor.

Abstract translation: 一种在聚烯烃制造方法中回收未反应烯烃的方法，包括处理净化箱排气。 该方法包括冷却和冷凝含有至少一种烯烃，石蜡和氮气的排出气体（吹扫流），以产生液体冷凝物和未冷凝（残余）气流。 然后将两个流通过膜分离步骤。 未冷凝的气流的膜分离导致根据分离类型，主要含有氮和/或石蜡的残留物流和富含C 2 +烃或烯烃的渗透物流。 来自该步骤的渗透物在冷凝步骤之前在该过程中再循环。 冷凝物的膜分离产生含有石蜡和富含烯烃的渗透物流的残余物流，其可循环至聚合反应器。

公开(公告)号：US20120197608A1

公开(公告)日：2012-08-02

申请号：US13444963

申请日：2012-04-12

Applicant: Stephen K. Pinto ,  Richard Mansfield ,  Marc Jacobs ,  Donald Rubin

Inventor： Stephen K. Pinto ,  Richard Mansfield ,  Marc Jacobs ,  Donald Rubin

IPC: G06F7/60

CPC classification number: G06Q10/04 ,  G06Q30/02 ,  G06Q40/025

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is enabled to validate the model development process with cross-validation between at least two subsets of the historical data; the validated model development process is enabled to be reapplied.

Abstract translation: 使用模型生成平台的各种工具和功能生成模型。 例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度 减少，模型生成，模型过程验证和模型重新生成。 关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，用户能够通过历史数据的至少两个子集之间的交叉验证来验证模型开发过程; 验证的模型开发过程能够被重新应用。

公开(公告)号：USD533997S1

公开(公告)日：2006-12-26

申请号：US29251280

申请日：2006-01-06

Applicant: Marc Jacobs

Designer： Marc Jacobs

公开(公告)号：US20050234688A1

公开(公告)日：2005-10-20

申请号：US10826630

申请日：2004-04-16

Applicant: Stephen Pinto ,  Richard Mansfield ,  Marc Jacobs ,  Donald Rubin

Inventor： Stephen Pinto ,  Richard Mansfield ,  Marc Jacobs ,  Donald Rubin

IPC: G05B13/02 ,  G05B17/02 ,  G06F17/50 ,  G06G7/48 ,  G06G7/62

CPC classification number: G05B17/02

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.

Abstract translation: 使用模型生成平台的各种工具和功能生成模型。 例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度 减少，模型生成，模型过程验证和模型重新生成。 接收的历史多维数据表示多个变量，以变换为对用作商业系统的预测模型的输入的至少一个结果变量进行最大预测，模型开发过程在一个或多个这样的变量集合 并使得模型生成工具的用户能够组合来自变量集合中的至少两个变量。