Patents by Inventor Michal Brylinski

Michal Brylinski has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240115588
    Abstract: Oral formulations comprising one or more proteasome inhibitors for use as a treatment of coronavirus infection in a subject. Also disclosed are the use of such for the treatment or prevention of SARS-CoV-2 infection in humans.
    Type: Application
    Filed: February 1, 2022
    Publication date: April 11, 2024
    Applicants: Board of Supervisors of Louisiana state University and Agricultural and Mechanical College, Skymount Medical US lnc.
    Inventors: Adam Bess, Frej Knut Gosta BERGLIND, Supratik MUKHOPADHYAY, Kishor M. WASAN, Chris GALLIANO, Michal BRYLINSKI, Stephania CORMIER, Allan ADER, Nicholas GRIGGS, Janet GOULD, Tiffany CHO, Julia ABRAMOV, Peter HNIK
  • Publication number: 20230398114
    Abstract: A tyrosine kinase inhibitor for use in the treatment of COVID-19 and/or its associated symptoms. Also disclosed is a method of treating an individual infected with a coronavirus, wherein said method comprises the steps of: providing a tyrosine kinase inhibitor; and administering said tyrosine kinase inhibitor to said individual in a dosage amount sufficient to prevent/stabilize/reduce the risks and/or symptoms associated with a coronavirus infection.
    Type: Application
    Filed: November 2, 2021
    Publication date: December 14, 2023
    Inventors: Kishor M. WASAN, Chris GALLIANO, Supratik MUKHOPADHYAY, Adam BESS, Frej Knut Gosta BERGLIND, Stephania CORMIER, Allan ADER, Nicholas GRIGGS, Janet GOULD, Tiffany CHO, Julia ABRAMOV, Peter HNIK, Michal BRYLINSKI
  • Publication number: 20230377681
    Abstract: Systems, methods, and non-transitory computer-readable storage media for identifying potential therapeutics for pathogens (bacterial or viral). The system can receive a plurality of molecules known to have interactions with a pathogen, fragment the plurality of molecules into a plurality of linkers and a plurality of rigids, and remove redundancies from the plurality of linkers and the plurality of rigids. The system can then identify a plurality of possible molecules formed from the fragments, evaluate those possible molecules for toxicity, and analyze the non-toxic candidates using a convolutional neural network associated with the pathogen. The final candidates can then be used for in-vivo testing.
    Type: Application
    Filed: October 6, 2021
    Publication date: November 23, 2023
    Applicant: Board of Supervisors of Louisiana State University and Agricultural and Mechanical College
    Inventors: Supratik MUKHOPADHYAY, Adam BESS, Michal BRYLINSKI
  • Publication number: 20110098238
    Abstract: A method, computer-readable medium, and system for identifying compounds from chemical libraries that can be used for the therapeutic treatment of a disease or used as lead compounds in a drug development program. In particular, information from homologous proteins is used to predict, for a target protein, molecular functions that can be used to screen libraries of compounds for individual compounds that are predicted to have high binding affinities for the target protein.
    Type: Application
    Filed: December 22, 2008
    Publication date: April 28, 2011
    Applicant: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Jeffrey Skolnick, Michal Brylinski