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公开(公告)号：US08000900B2
公开(公告)日：2011-08-16
申请号：US11324634
申请日：2005-12-30
CPC分类号： G06F19/22 , C12Q1/6883 , C12Q2537/165 , G06F19/00 , G06F19/14 , G06F19/18 , G06F19/24 , G16H50/20 , Y02A90/26
摘要： A system comprising a machine learning classifier trained on a plurality of associations between a host and a pathogen to predict a pathogen characteristic is described herein. The pathogen characteristic can relate to a disease state of the host. Computer-executable instructions for performing a method of forecasting a portion of a target molecule anticipated to influence an organism's condition also are described herein. The method comprises employing population data to automatically analyze one or more areas of the target molecule to determine the portion of the target molecule anticipated to influence the organism's condition. The population data can pertain to at least one relationship between at least one diverse organism trait and the target molecule. One or more epitopes forecast by employing the method also are contemplated.
摘要翻译： 这里描述了一种系统，其包括由主机和病原体之间的多个关联训练的机器学习分类器来预测病原体特征。 病原体特征可以与宿主的疾病状态有关。 本文还描述了用于执行预测影响生物体状况的目标分子的一部分的预测方法的计算机可执行指令。 该方法包括使用群体数据来自动分析目标分子的一个或多个区域以确定预期影响生物体状况的目标分子的部分。 人口数据可以涉及至少一种不同的生物性状和目标分子之间的至少一种关系。 也考虑了采用该方法预测的一个或多个表位。
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公开(公告)号：US20060160071A1
公开(公告)日：2006-07-20
申请号：US11324634
申请日：2005-12-30
申请人： David Heckerman , Simon Mallal , Carl Kadie , Corey Moore , Nebojsa Jojic
发明人： David Heckerman , Simon Mallal , Carl Kadie , Corey Moore , Nebojsa Jojic
CPC分类号： G06F19/22 , C12Q1/6883 , C12Q2537/165 , G06F19/00 , G06F19/14 , G06F19/18 , G06F19/24 , G16H50/20 , Y02A90/26
摘要： A system comprising a machine learning classifier trained on a plurality of associations between a host and a pathogen to predict a pathogen characteristic is described herein. The pathogen characteristic can relate to a disease state of the host. Computer-executable instructions for performing a method of forecasting a portion of a target molecule anticipated to influence an organism's condition also are described herein. The method comprises employing population data to automatically analyze one or more areas of the target molecule to determine the portion of the target molecule anticipated to influence the organism's condition. The population data can pertain to at least one relationship between at least one diverse organism trait and the target molecule. One or more epitopes forecast by employing the method also are contemplated.
摘要翻译： 这里描述了一种系统，其包括由主机和病原体之间的多个关联训练的机器学习分类器来预测病原体特征。 病原体特征可以与宿主的疾病状态有关。 本文还描述了用于执行预测影响生物体状况的目标分子的一部分的预测方法的计算机可执行指令。 该方法包括使用群体数据来自动分析目标分子的一个或多个区域以确定预期影响生物体状况的目标分子的部分。 人口数据可以涉及至少一种不同的生物性状和目标分子之间的至少一种关系。 也考虑了采用该方法预测的一个或多个表位。
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公开(公告)号：US20060160070A1
公开(公告)日：2006-07-20
申请号：US11324467
申请日：2005-12-30
申请人： Simon Mallal , David Heckerman , Nebojsa Jojic , Vladimir Jojic , Christopher Meek , Corey Moore , Carl Kadie
发明人： Simon Mallal , David Heckerman , Nebojsa Jojic , Vladimir Jojic , Christopher Meek , Corey Moore , Carl Kadie
摘要： Systems that facilitate immunogen design are described herein. An optimization component is provided to determine an immunogen according to at least one criterion. The immunogen comprises a set of overlapping sequences comprising sequences that are known to be and/or are likely to be immunogenic. At least one of the sequences that are likely to be immunogenic can be determined by analyzing associations between a host and a pathogen at a population level. Methods of determining an epitome are described herein. A plurality of sequences are received. At least one of the sequences is predicted to be an epitope based on a relationship between a diverse trait of a population and a mutation of a pathogen. A collection of the plurality of sequences is optimized according to one or more criteria to determine the epitome. Epitomes and immunogens determined by the systems and methods described herein are also contemplated.
摘要翻译： 本文描述了促进免疫原设计的系统。 提供优化组件以根据至少一个标准确定免疫原。 免疫原包含一组重叠序列，其包含已知是和/或可能是免疫原性的序列。 可能通过在群体水平上分析宿主和病原体之间的关联来确定可能是免疫原性的序列中的至少一个。 本文描述了确定缩影的方法。 接收多个序列。 基于群体的不同性状和病原体的突变之间的关系，至少有一个序列被预测为表位。 根据一个或多个标准来优化多个序列的集合以确定缩写。 还考虑了通过本文所述的系统和方法确定的病原体和免疫原。
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公开(公告)号：US20060257865A1
公开(公告)日：2006-11-16
申请号：US10493165
申请日：2002-10-23
申请人： Simon Mallal
发明人： Simon Mallal
IPC分类号： C12Q1/68 , G01N33/554 , G06F19/00
CPC分类号： C07K14/005 , A61K2039/57 , C12N9/1276 , C12N9/506 , C12N2740/16222 , C12N2740/16322 , Y02A90/26
摘要： The present invention relates generally to the field of identification and determination of bioactive amino acid sequences. In particular, the present invention provides method(s) for determining the influence of variation in host genes on selection of microorganisms with particular amino acid variants for the purpose of therapeutic drug or vaccine design or individualisation of such treatment. The invention also provides methods for identifying HLA allele-specific microorganism sequence polymorphisms that result from HLA restriction of antigen-specific cellular immune responses. It also provides diagnostic and therapeutic methodologies that may be used to measure or treat infection by a microorganism or to prevent infection by the microorganism.
摘要翻译： 本发明一般涉及生物活性氨基酸序列的鉴定和测定领域。 特别地，本发明提供了用于确定宿主基因变异对特定氨基酸变体的微生物对于治疗药物或疫苗设计或这种治疗的个体化的影响的影响的方法。 本发明还提供了用于鉴定由抗原特异性细胞免疫应答的HLA限制引起的HLA等位基因特异性微生物序列多态性的方法。 它还提供可用于测量或治疗微生物感染或防止微生物感染的诊断和治疗方法。
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公开(公告)号：US20100088037A1
公开(公告)日：2010-04-08
申请号：US12548221
申请日：2009-08-26
申请人： Simon Mallal
发明人： Simon Mallal
CPC分类号： C07K14/005 , A61K2039/57 , C12N9/1276 , C12N9/506 , C12N2740/16222 , C12N2740/16322 , Y02A90/26
摘要： The present invention relates generally to the field of identification and determination of bioactive amino acid sequences. In particular, the present invention provides method(s) for determining the influence of variation in host genes on selection of microorganisms with particular amino acid variants for the purpose of therapeutic drug or vaccine design or individualisation of such treatment. The invention also provides methods for identifying HLA allele-specific microorganism sequence polymorphisms that result from HLA restriction of antigen-specific cellular immune responses. It also provides diagnostic and therapeutic methodologies that may be used to measure or treat infection by a microorganism or to prevent infection by the microorganism.
摘要翻译： 本发明一般涉及生物活性氨基酸序列的鉴定和测定领域。 特别地，本发明提供了用于确定宿主基因变异对特定氨基酸变体的微生物对于治疗药物或疫苗设计或这种治疗的个体化的影响的影响的方法。 本发明还提供了用于鉴定由抗原特异性细胞免疫应答的HLA限制引起的HLA等位基因特异性微生物序列多态性的方法。 它还提供可用于测量或治疗微生物感染或防止微生物感染的诊断和治疗方法。
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6.发明申请Method for identification and determination of hypersensitivity of a patient to abacavir 审中-公开用于鉴别和确定患者对阿巴卡韦的超敏反应的方法公开(公告)号：US20060046267A1
公开(公告)日：2006-03-02
申请号：US10504047
申请日：2003-02-12
申请人： Simon Mallal
发明人： Simon Mallal
IPC分类号： G01N33/53
CPC分类号： C12Q1/6883 , C12Q1/6881 , C12Q2600/156
摘要： A method for identifying whether a patient will exhibit a hypersensitive reaction or like-reaction to treatment with abacavir comprising the step of: typing the patient for the presence of the 57.1 ancestral haplotype.
摘要翻译： 用于鉴定患者是否将表现出对阿巴卡韦治疗的过敏反应或类似反应的方法，包括以下步骤：打印患者57.1祖先单体型的存在。
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