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    Identification of genetic targets for modulation by oligonucleotides and generation of oligonucleotides for gene modulation
    5.
    发明申请
    Identification of genetic targets for modulation by oligonucleotides and generation of oligonucleotides for gene modulation 审中-公开
    识别通过寡核苷酸调节的遗传靶标和产生用于基因调控的寡核苷酸

    公开(公告)号：US20060069518A1

    公开(公告)日：2006-03-30

    申请号：US11226882

    申请日：2005-09-14

    申请人： Lex Cowsert ,  Brenda Baker ,  John McNeil ,  Susan Freier ,  Henri Sasmor ,  Douglas Brooks ,  Cara Ohashi ,  Jacqueline Wyatt ,  Alexander Borchers ,  Timothy Vickers

    发明人： Lex Cowsert ,  Brenda Baker ,  John McNeil ,  Susan Freier ,  Henri Sasmor ,  Douglas Brooks ,  Cara Ohashi ,  Jacqueline Wyatt ,  Alexander Borchers ,  Timothy Vickers

    IPC分类号： C40B30/02

    CPC分类号： C12Q1/6811 ,  B01J2219/007 ,  C12N15/1048 ,  G16B20/00 ,  G16B30/00 ,  G16B35/00 ,  G16C20/60

    摘要： Interative, preferably computer based iterative processes for generating synthetic compounds with desired physical, chemical and/or bioactive properties, i.e., active compounds, are provided. During iterations of the processes, a target nucleic acid sequence is provided or selected, and a library of candidate nucleobase sequences is generated in silico according to defined criteria. A “virtual” oligonucleotide chemistry is chosen and a library of virtual oligonucleotide compounds having the selected nucleobase sequences is generated. These virtual compounds are reviewed and compounds predicted to have particular properties are selected. The selected compounds are robotically synthesized and are preferably robotically assayed for a desired physical, chemical or biological activity. Active compounds are thus generated and, at the same time, preferred sequences and regions of the target nucleic acid that are amenable to oligonucleotide or sequence-based modulation are identified.

    摘要翻译： 提供了用于产生具有期望的物理，化学和/或生物活性的合成化合物（即活性化合物）的相互优选的基于计算机的迭代方法。 在该过程的迭代过程中，提供或选择靶核酸序列，并且根据确定的标准以计算机生成候选核碱基序列的文库。 选择“虚拟”寡核苷酸化学，并产生具有选定的核碱基序列的虚拟寡核苷酸化合物文库。 审查这些虚拟化合物，并选择预测具有特定性质的化合物。 所选择的化合物是机械合成的，并且优选机械地测定所需的物理，化学或生物活性。 因此产生活性化合物，并且同时确定适用于寡核苷酸或基于序列的调节的靶核酸的优选序列和区域。