SHP2 phosphatase inhibitors and methods of use thereof

    公开(公告)号:US11529347B2

    公开(公告)日:2022-12-20

    申请号:US16335933

    申请日:2017-09-22

    Abstract: The present invention relates to novel compounds having the general formula: and pharmaceutical compositions thereof, and methods for inhibiting the activity of SHP2 phosphatase with the compounds and compositions of the invention. The present invention further relates to, but is not limited to, methods for suppressing tumor cell growth, ameliorating the pathogenesis of systemic lupus erythematosus, and the treatment of various other disorders, including Noonan syndrome, diabetes, neutropenia, neuroblastoma, melanoma, juvenile leukemia, juvenile myelomonocytic leukemia, chronic myelomonocytic leukemia, acute myeloid leukemia, and other cancers associated with SHP2 deregulation with the compounds and compositions of the invention, alone or in combination with other treatments. Other cancers associated with SHP2 deregulation include HER2-positive breast cancer, triple-negative breast cancer, ductal carcinoma of the breast, invasive ductal carcinoma of the breast, non-small cell lung cancer, esophageal cancer, gastric cancer, squamous-cell carcinoma of the head and neck (SCCHN), and colon cancer.

    Molecular graph generation from structural features using an artificial neural network

    公开(公告)号:US12217834B2

    公开(公告)日:2025-02-04

    申请号:US17614856

    申请日:2020-05-29

    Abstract: Discovering molecules (which may be known or may never have been cataloged or ever synthesized) that have desired characteristics is addressed using a machine learning approach. As compared to a brute-force search of a database of known molecules, which may not be computationally feasible, the present machine learning approach renders identification of both known and unknown molecules computationally tractable. Furthermore, the computational effort is largely shifted to training of the machine learning system using a database of known molecules, and the generation of molecules to match any particular characteristics requires relatively little computation. The molecules using the present approach may be further studied, for example, with computer-based simulation or after physical synthesis using biological experimentation to ultimately yield useful chemical compounds.

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