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    METHODS AND SYSTEMS FOR GENERATING AND EVALUATING PEPTIDES
    49.
    发明申请
    METHODS AND SYSTEMS FOR GENERATING AND EVALUATING PEPTIDES 审中-公开
    用于产生和评估肽的方法和系统

    公开(公告)号：US20100184693A1

    公开(公告)日：2010-07-22

    申请号：US12685522

    申请日：2010-01-11

    Applicant: Gregory Stephanopoulos ,  Kyle Jensen ,  Christopher Loose

    Inventor： Gregory Stephanopoulos ,  Kyle Jensen ,  Christopher Loose

    IPC: A61K38/10 ,  C07K14/00 ,  C07K2/00 ,  A61K38/00 ,  A61P31/00

    CPC classification number: C07K7/08 ,  A61K38/00 ,  C07K14/001 ,  C07K14/4723 ,  G16B20/00 ,  G16B30/00 ,  G16B35/00 ,  G16B40/00 ,  G16B50/00 ,  G16C20/60

    Abstract: A method has been developed to create databases of peptides having a desirable property, such as antimicrobial activity, based on analyzing a database of known peptides for a pattern statistically associated with an activity. One can determine a set of patterns that may be representative of a peptide having a desired characteristic or property, and evaluate a set of sequences against the set of patterns (grammars) to determine if the peptide sequence being evaluated has similar patterns to those of a peptide having the desired characteristic or property. The set of sequences being evaluated may include peptide sequences of a desired length comprising all or substantially all combinations of amino acids that conform to at least one of the set of patterns. Once the database is identified, the database may be processed in a pattern recognition procedure that identifies a set of patterns that could be understood as representative of a peptide having the characteristic of interest. A set of newly generated peptides sequences may then be processed to score these new sequences against the identified patterns to correlate the patterns to the sequences and determine a degree of association or a similarity between a respective one of the new sequences and the set of identified patterns. The method is used to provide a database of sequences that are expected to have one or more desired activities, specific sequences within the database proven to have the desired activity, and the patterns or grammars used to create the database of sequences. Although described with reference to antimicrobial peptides, a database of peptides may be identified that contains peptides that have antiviral properties, wound response properties, or some other property of interest.

    Abstract translation: 已经开发了一种基于分析与活性统计相关的模式的已知肽的数据库来创建具有所需性质（例如抗微生物活性）的肽的数据库的方法。 可以确定可以代表具有期望特征或性质的肽的一组模式，并且针对该组模式（语法）评估一组序列，以确定被评估的肽序列是否具有与 肽具有所需的特性或性质。 正在评估的序列集合可以包括期望长度的肽序列，其包含符合该组模式中的至少一个的氨基酸的全部或基本上全部组合。 一旦数据库被识别，数据库就可以在模式识别程序中进行处理，该模式识别程序识别可以被理解为代表具有感兴趣特征的肽的一组模式。 然后可以对一组新产生的肽序列进行处理，以针对所识别的模式对这些新序列进行评估，以将模式与序列相关联，并确定新序列中的相应一个和所识别的模式集合之间的关联程度或相似度 。 该方法用于提供预期具有一个或多个期望活动的序列的数据库，被证明具有期望活动的数据库中的特定序列，以及用于创建序列数据库的模式或语法。 尽管参考抗微生物肽描述了，但是可以鉴定出含有具有抗病毒性质，伤口应答性质或感兴趣的其它性质的肽的肽数据库。

    SYSTEMS AND METHODS FOR GENERATING PEPTIDES
    50.
    发明申请
    SYSTEMS AND METHODS FOR GENERATING PEPTIDES 审中-公开
    用于产生肽的系统和方法

    公开(公告)号：US20100076173A1

    公开(公告)日：2010-03-25

    申请号：US12548211

    申请日：2009-08-26

    Applicant: Gregory Stephanopoulos ,  Christopher R. Loose ,  Kyle Jensen

    Inventor： Gregory Stephanopoulos ,  Christopher R. Loose ,  Kyle Jensen

    IPC: C07K14/00 ,  C07K7/06 ,  C07K7/08

    CPC classification number: C07K1/00 ,  G16B30/00 ,  G16B40/00

    Abstract: Antimicrobial peptides are small proteins used by the innate immune system to combat bacterial infection in multicellular eukaryotes. There is mounting evidence that these peptides are less susceptible to bacterial resistance than traditional antibiotics and that they may form the basis for a novel class of therapeutics. Systems and methods may treat the amino acid sequences of these peptides as a formal language and build a set of right-linear grammars that describe this language. These grammars may allow for rationally designed novel antimicrobial peptides in silico. These peptides conform to the syntax of natural antimicrobial peptides lack significant homology to any natural sequences, thus populating a previously unexplored region of protein sequence space. Synthesis of these peptides, leads to de novo AmPs.

    Abstract translation: 抗微生物肽是先天免疫系统用于防治多细胞真核生物细菌感染的小蛋白质。 有越来越多的证据表明，这些肽比传统抗生素对细菌耐药性较不敏感，并且它们可能形成新型治疗剂的基础。 系统和方法可以将这些肽的氨基酸序列视为形式语言，并构建描述此语言的一组右线性语法。 这些语法可以允许合理设计的新型抗微生物肽。 这些肽符合天然抗微生物肽的语法，与任何天然序列缺乏显着的同源性，从而填充了以前未探索的蛋白质序列空间区域。 这些肽的合成，导致从头AmPs。

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