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    PHAGE-DISPLAYED ANTIBODY LIBRARIES AND USES THEREOF
    2.
    发明申请
    PHAGE-DISPLAYED ANTIBODY LIBRARIES AND USES THEREOF 审中-公开
    PHAGE显示的抗体库及其用途

    公开(公告)号：US20170044239A1

    公开(公告)日：2017-02-16

    申请号：US15232819

    申请日：2016-08-10

    Applicant: Academia Sinica

    Inventor： An-Suei YANG ,  Ing-Chien CHEN ,  Chao-Ping TUNG ,  Chung-Ming YU

    IPC: C07K16/00 ,  C12N15/10 ,  C12N15/85 ,  C07K16/10

    CPC classification number: C07K16/005 ,  C07K16/1018 ,  C07K2317/33 ,  C07K2317/34 ,  C07K2317/565 ,  C07K2317/622 ,  C07K2317/76 ,  C07K2317/92 ,  C12N15/1037

    Abstract: Disclosed herein are phage-displayed single-chain variable fragment (scFv) libraries, which comprised a plurality of scFvs with a specific sequence in each CDR. The present scFv libraries could be used to efficiently produce different antibodies with high binding affinity to H1 hemagglutinin of influenza virus. Accordingly, the present disclosure provides a potential means to generate different antigen-specific antibodies promptly in accordance with the need in experimental researches and/or clinical applications.

    Abstract translation: 本文公开了噬菌体展示的单链可变片段（scFv）文库，其包含在每个CDR中具有特定序列的多个scFv。 目前的scFv文库可用于有效地产生具有高流感病毒H1血凝素的高结合亲和力的不同抗体。 因此，本公开提供了根据实验研究和/或临床应用中的需要迅速产生不同抗原特异性抗体的潜在手段。

    COMPUTATIONAL METHOD FOR PREDICTING FUNCTIONAL SITES OF BIOLOGICAL MOLECULES
    4.
    发明申请
    COMPUTATIONAL METHOD FOR PREDICTING FUNCTIONAL SITES OF BIOLOGICAL MOLECULES 审中-公开

    公开(公告)号：US20180025108A1

    公开(公告)日：2018-01-25

    申请号：US15670478

    申请日：2017-08-07

    Applicant: ACADEMIA SINICA

    Inventor： An-Suei YANG ,  Hung-Pin PENG ,  Jhih-Wei JIAN

    IPC: G06F19/12 ,  G06F19/24

    CPC classification number: G16B5/00 ,  G16B40/00 ,  G16B50/00

    Abstract: In a general aspect, a method for inferring one or more biomolecule-to-biomolecule interaction sites includes receiving data representative of a plurality of prediction models. Each prediction model is associated with a different atom type of a plurality of atom types and characterizes biomolecule-to-biomolecule interaction site specific patterns common to a plurality of three dimensional probability density maps. Each three dimensional probability density map is associated with a corresponding biomolecule of a plurality of biomolecules included in a training data set and represents a probability of a non-covalent interacting atom on a surface of the corresponding biomolecule interacting with the atom type associated with the prediction model. Data representative of a query biomolecule is received, the data including one or more unknown biomolecule-to-biomolecule interaction sites. The one or more unknown biomolecule-to-biomolecule interaction sites of the query biomolecule are inferred based on the data representative of the plurality of prediction models.

    GLYCAN ARRAYS FOR HIGH THROUGHPUT SCREENING OF VIRUSES
    10.
    发明申请
    GLYCAN ARRAYS FOR HIGH THROUGHPUT SCREENING OF VIRUSES 审中-公开

    公开(公告)号：US20190391149A1

    公开(公告)日：2019-12-26

    申请号：US16458986

    申请日：2019-07-01

    Applicant: ACADEMIA SINICA

    Inventor： Chi-Huey WONG ,  Chung-Yi WU ,  Chi-Hui LIANG ,  An-Suei YANG

    IPC: G01N33/569 ,  G01N33/543 ,  G01N33/53

    Abstract: Glycan arrays that can detect and distinguish between various sub-types and strains of influenza virus are provided. Methods for using the glycan arrays with assays using nanoparticle amplification technique are disclosed. Sandwich assays using gold nanoparticles conjugated to phage particles comprising influenza virus-specific antibodies for detecting multiple serotypes using a single reaction are provided. Plurality of glycans directed to specific target HA of influenza virus comprises the array. Detector molecules comprising noble metals conjugated to (a) phage display particles expressing antibodies against hemagglutinin and (b) neuraminidase binding agents are disclosed.

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