TLR 9 INHIBITORS
    1.
    发明申请

    公开(公告)号:US20210253553A1

    公开(公告)日:2021-08-19

    申请号:US17240792

    申请日:2021-04-26

    Abstract: A TLR9 inhibitor includes a compound of general formula (I): wherein the meanings of the variables are explained in the specification, or a stereoisomeric form or a mixture of stereoisomeric forms, or pharmaceutically acceptable salts thereof. A pharmaceutical composition can include compounds of the invention, which can be used in a method for inhibiting TLR9 activity in vitro or in vivo. The method can be performed by administering the compound to a subject to inhibit TLR9 activity, which can be used to treat a disease or disorder associated with TLR9.

    TLR 9 inhibitors
    2.
    发明授权

    公开(公告)号:US11008303B2

    公开(公告)日:2021-05-18

    申请号:US16889462

    申请日:2020-06-01

    Abstract: A method for inhibiting TLR9 includes contacting the TLR9 with compound of general formula (I): wherein the meanings of the variables are explained in the specification, or a stereoisomeric form or a mixture of stereoisomeric forms, or pharmaceutically acceptable salts thereof. A pharmaceutical composition can include compounds of the invention, which can be used in a method for inhibiting TLR9 activity in vitro or in vivo. The method can be performed by administering the compound to a subject to inhibit TLR9 activity, which can be used to treat a disease or disorder associated with TLR9.

    WORKFLOW FOR GENERATING COMPOUNDS WITH BIOLOGICAL ACTIVITY AGAINST A SPECIFIC BIOLOGICAL TARGET

    公开(公告)号:US20210057050A1

    公开(公告)日:2021-02-25

    申请号:US17000109

    申请日:2020-08-21

    Abstract: A computer-implemented method can include: receiving input of a biological target; receiving a generative model (e.g., tensorial reinforcement learning (GENTRL) model or other model) trained with reference compounds, wherein the reference compounds include: general compounds, compounds that modulate the biological target, and compounds that modulate biomolecules other than the biological target; generating structures of generated compounds with the generative model; prioritizing structures of generated compounds based on at least one criteria; processing prioritized chemical structures of the generated compounds through a Sammon mapping protocol to obtain hit structures; and providing chemical structures of the hit structures. One or more non-transitory computer readable media are provided that store instructions that in response to being executed by one or more processors, cause a computer system to perform operations, the operations comprising performing the computer methods described herein for providing chemical structure of hit structures generated by the generative model.

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