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Patent Searching and Data


Title:
IMMUNOME WIDE ASSOCIATION STUDIES TO IDENTIFY CONDITION-SPECIFIC ANTIGENS
Document Type and Number:
WIPO Patent Application WO/2020/257740
Kind Code:
A3
Abstract:
The present invention provides compositions and methods that can be used to identify an antigen or epitope region of an antigen specific for a disease or other condition. Such methods incorporate k-mer binding statistics to serum antibody from condition and control cohort samples to predict the suitability of antigen sequences identified as relevant to the disease or condition as antigen markers. Also disclosed herein are systems for performing the same.

Inventors:
SHON JOHN (US)
HAYNES WINSTON (US)
DAUGHERTY PATRICK (US)
Application Number:
PCT/US2020/038856
Publication Date:
February 18, 2021
Filing Date:
June 20, 2020
Export Citation:
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Assignee:
SERIMMUNE INC (US)
International Classes:
C12Q1/68; G01N33/50; G01N33/574; G01N33/68
Other References:
PAULL: "Development of bioinformatic tools to identify and characterize linear protein epitopes", PH.D. THESIS, vol. 6, 2018, pages viii, XP055793714, Retrieved from the Internet [retrieved on 20201107]
CARMONA ET AL.: "Diagnostic Peptide Discovery: Prioritization of Pathogen Diagnostic Markers Using Multiple Features", PLOS ONE, vol. 7, no. 12, 2012, pages 1 - 13, XP055793721
CHEN ET AL.: "Detection of outlier residues for improving interface prediction in protein heterocomplexes", IEEE /ACM TRANS COMPUT BIOL BIOINFORM, vol. 9, no. 4, July 2012 (2012-07-01), pages 1155 - 65, XP011492403, DOI: 10.1109/TCBB.2012.58
Attorney, Agent or Firm:
HURT, Nicholas, S. et al. (US)
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