-
1.发明授权System and method of evaluation of stochastic interactions of a soluble ligand with a target cell population for optimization of drug design and delivery 失效评估可溶性配体与靶细胞群体的随机相互作用的系统和方法，以优化药物设计和递送公开(公告)号：US08650017B2
公开(公告)日：2014-02-11
申请号：US11449648
申请日：2006-06-09
申请人： Oleg U. Kirnasovsky , Vladimir Vainstein , Yuri Kogan , Zvia Agur
发明人： Oleg U. Kirnasovsky , Vladimir Vainstein , Yuri Kogan , Zvia Agur
CPC分类号： G06F19/3456 , G01N33/5011 , G06F19/00 , G06F19/12 , G06F19/704 , G16H50/50
摘要： A computer system for recommending an optimal treatment protocol comprising a model of biological processes related to a disease. A treatment protocol generator generates a plurality of treatment protocols for treating a disease using drugs. A selector selects an optimal treatment protocol from the plurality of treatment protocols based on model. The model further comprises a pharmacokinetics macro module adapted to analyze interactions between a ligand and a population of target cells at a tissue level. The model further comprises a pharmacokinetics micro module adapted to analyze interactions between the ligand and a cell at an individual cell level. The pharmacokinetics micro module is adapted to model behavior of the ligand and receptors related to single cell level of ligand-cell interactions, as a stochastic process.
摘要翻译： 一种用于推荐包括与疾病相关的生物过程模型的最佳治疗方案的计算机系统。 治疗方案生成器产生用于使用药物治疗疾病的多种治疗方案。 选择器基于模型从多个处理协议中选择最佳处理协议。 该模型还包括适于分析组织水平的配体和靶细胞群体之间的相互作用的药代动力学宏模块。 该模型还包括适于分析在单个细胞水平的配体和细胞之间的相互作用的药代动力学微模块。 药代动力学微模块适用于模拟与配体 - 细胞相互作用的单细胞水平相关的配体和受体的行为，作为随机过程。
-
2.发明申请公开(公告)号：US20100235150A1
公开(公告)日：2010-09-16
申请号：US12721968
申请日：2010-03-11
申请人： Zvia AGUR , Oleg U. Kirnasovsky , Yuri Kogan , Lilach Tencer
发明人： Zvia AGUR , Oleg U. Kirnasovsky , Yuri Kogan , Lilach Tencer
摘要： A method of determining a therapeutic regimen for the treatment of cancer with Dickkopf (Dkk) protein in which a mathematical model of differential equations describing the major signaling pathways involved in stem cell regulation is created and used to simulate signals from the cancer stem cell environment based upon administration of at least a single dose of Dkk in vitro and/or in vivo. A method of modulating cancer stem cells is also provided in which the stem cell computer model is simulates the effect of Dkk and performs a calibration test to determine a threshold value above which Dkk induces cell differentiation and a threshold value below which Dkk induces stem cell proliferation.
摘要翻译： 用Dickkopf（Dkk）蛋白测定治疗癌症的治疗方案的方法，其中创建描述干细胞调节涉及的主要信号通路的微分方程的数学模型并用于模拟来自癌症干细胞环境的信号 在体外和/或体内施用至少单一剂量的Dkk。 还提供了一种调节癌症干细胞的方法，其中干细胞计算机模型模拟Dkk的作用并执行校准测试以确定高于该阈值的Dkk诱导细胞分化的阈值和低于该阈值的Dkk诱导干细胞增殖的阈值 。
-
3.发明授权公开(公告)号：US08762069B2
公开(公告)日：2014-06-24
申请号：US12721968
申请日：2010-03-11
申请人： Zvia Agur , Oleg U. Kirnasovsky , Yuri Kogan , Lilach Tencer
发明人： Zvia Agur , Oleg U. Kirnasovsky , Yuri Kogan , Lilach Tencer
摘要： A method of determining a therapeutic regimen for the treatment of cancer with Dickkopf (Dkk) protein in which a mathematical model of differential equations describing the major signaling pathways involved in stem cell regulation is created and used to simulate signals from the cancer stem cell environment based upon administration of at least a single dose of Dkk in vitro and/or in vivo. A method of modulating cancer stem cells is also provided in which the stem cell computer model is simulates the effect of Dkk and performs a calibration test to determine a threshold value above which Dkk induces cell differentiation and a threshold value below which Dkk induces stem cell proliferation.
摘要翻译： 用Dickkopf（Dkk）蛋白测定治疗癌症的治疗方案的方法，其中创建描述干细胞调节涉及的主要信号通路的微分方程的数学模型并用于模拟来自癌症干细胞环境的信号 在体外和/或体内施用至少单一剂量的Dkk。 还提供了一种调节癌症干细胞的方法，其中干细胞计算机模型模拟Dkk的作用并执行校准测试以确定高于该阈值的Dkk诱导细胞分化的阈值和低于该阈值的Dkk诱导干细胞增殖的阈值 。
-
4.发明申请System and method of evaluation of stochastic interactions of a soluble ligand with a target cell population for optimization of drug design and delivery 失效评估可溶性配体与靶细胞群体的随机相互作用的系统和方法，以优化药物设计和递送公开(公告)号：US20070054331A1
公开(公告)日：2007-03-08
申请号：US11449648
申请日：2006-06-09
申请人： Oleg Kirnasovsky , Vladimir Vainstein , Yuri Kogan , Zvia Agur
发明人： Oleg Kirnasovsky , Vladimir Vainstein , Yuri Kogan , Zvia Agur
IPC分类号： G01N33/574 , G06F19/00
CPC分类号： G06F19/3456 , G01N33/5011 , G06F19/00 , G06F19/12 , G06F19/704 , G16H50/50
摘要： A computer system for recommending an optimal treatment protocol comprising a model of biological processes related to a disease. A treatment protocol generator generates a plurality of treatment protocols for treating a disease using drugs. A selector selects an optimal treatment protocol from said plurality of treatment protocols based on model. The model further comprises a pharmacokinetics macro module adapted to analyze interactions between a ligand and a population of target cells at a tissue level. The model further comprises a pharmacokinetics micro module adapted to analyze interactions between the ligand and a cell at an individual cell level. The pharmacokinetics micro module is adapted to model behavior of the ligand and receptors related to single cell level of ligand-cell interactions, as a stochastic process.
摘要翻译： 一种用于推荐包括与疾病相关的生物过程模型的最佳治疗方案的计算机系统。 治疗方案生成器产生用于使用药物治疗疾病的多种治疗方案。 选择器基于模型从所述多个治疗方案中选择最佳治疗方案。 该模型还包括适于分析组织水平的配体和靶细胞群体之间的相互作用的药代动力学宏模块。 该模型还包括适于分析在单个细胞水平的配体和细胞之间的相互作用的药代动力学微模块。 药代动力学微模块适用于模拟与配体 - 细胞相互作用的单细胞水平相关的配体和受体的行为，作为随机过程。
-
-
-
搜索结果
4 条记录 (耗时 0.019 秒)
