Patents by Inventor Maria Luisa PINEDA

Maria Luisa PINEDA 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: 20230263872
    Abstract: Provided herein are systems and methods for identifying alternative splicing derived cell surface antigens. Also provided are methods and compositions for using the identified cell surface antigens. Further provided are methods, compositions, and systems for diagnosing diseases in a subject using the identified cell surface antigens or treating diseases using the same.
    Type: Application
    Filed: August 27, 2021
    Publication date: August 24, 2023
    Applicants: Envisagenics, Inc., Envisagenics, Inc.
    Inventors: Maria Luisa Pineda, Martin Akerman, Gayatri Arun, Naomi Yudanin, Priyanka Dhingra
  • Publication number: 20220112497
    Abstract: Disclosed herein are systems and methods for identifying candidate targets that may be used for therapeutic developments. The systems and methods may comprise receiving and analyzing biologically relevant data to identify information or events such as splicing events that may be statistically significant or specific to certain diseases, illnesses or conditions. Also provided are systems and methods for modulating the statistically significant events using compositions or molecules including small molecule compounds, oligonucleotides, proteins or cells.
    Type: Application
    Filed: October 6, 2021
    Publication date: April 14, 2022
    Inventors: Paulina Zheng, Anson Abraham, Maria Luisa Pineda, Martin Akerman, Gayatri Arun, Priyanka Dhingra, Kendall Anderson, Vanessa Frederick, Naomi Yudanin, Robin Munch
  • Publication number: 20210280275
    Abstract: Disclosed herein are systems and methods for quantification and analysis of alternative splicing events, and prediction of biological relevance of alternative splicing events comprising a software module: quantifying alternative splicing events using biological data related to a genome, a transcriptome, or both provided by a user; processing the quantified alternative splicing events with information stored in a database; identifying statistically significant alternative splicing events, predicting functional impact of alternative splicing events on protein structures, protein functions, RNA stability, RNA integrity, or biological pathways, predicting druggability and reversibility of aberrant splicing events as well as controllability of splicing in general using statistical modeling and machine learning algorithms
    Type: Application
    Filed: November 19, 2020
    Publication date: September 9, 2021
    Inventors: Martin AKERMAN, Maria Luisa PINEDA