公开(公告)号：US20240366754A1

公开(公告)日：2024-11-07

申请号：US18701119

申请日：2022-10-14

Applicant: BioNTech SE

Inventor： Richard B. Gaynor ,  Michael Steven Rooney ,  Asaf Poran ,  Theresa Addona ,  Scott Goulding ,  Ekaterina Esaulova ,  Miles Kirsch ,  Yunpeng Liu ,  Lauren Stopfer

IPC: A61K39/25 ,  A61K39/00 ,  A61K39/12 ,  A61K39/245 ,  A61P37/04 ,  C07K14/005

Abstract: The present disclosure provides pharmaceutical compositions for delivery of viral antigens (e.g., a viral vaccine) and related technologies (e.g., components thereof and/or methods relating thereto).

公开(公告)号：US20240339174A1

公开(公告)日：2024-10-10

申请号：US18289425

申请日：2022-05-04

Applicant: BioNTech SE ,  InstaDeep Ltd.

Inventor： Alexander Muik ,  Asaf Poran ,  Yunpeng Liu ,  Ugur Sahin ,  Karim Beguir ,  Marcin Skwark ,  Thomas Pierrot ,  Yunguan Fu

IPC: G16B20/20 ,  C07K14/005 ,  G16B15/30 ,  G16B40/20

CPC classification number: G16B20/20 ,  C07K14/005 ,  G16B15/30 ,  G16B40/20 ,  C12N2770/20022

Abstract: The present disclosure provides technologies for identifying, characterizing, and/or monitoring sequences of a variant of a reference infectious agent (e.g., but not limited to viral variants, for example in some embodiments SARS-CoV-2 variants) for transmissibility factors and/or immune escape potential, and/or for detecting and/or monitoring variants in environmental or biological samples, and/or for designing, preparing, and/or administering vaccines for such variants.

公开(公告)号：US20240321387A1

公开(公告)日：2024-09-26

申请号：US18289424

申请日：2022-05-04

Applicant: BioNTech SE ,  InstaDeep Ltd

Inventor： Alexander Muik ,  Asaf Poran ,  Yunpeng Liu ,  Ugur Sahin ,  Karim Beguir ,  Marcin Skwark ,  Thomas Pierrot ,  Yunguan Fu

IPC: G16B15/30 ,  G06N3/045 ,  G06N3/08 ,  G06N5/01 ,  G06N20/00 ,  G16B40/20

CPC classification number: G16B15/30 ,  G06N3/045 ,  G06N3/08 ,  G06N5/01 ,  G06N20/00 ,  G16B40/20

Abstract: A method is provided for identifying a number of variants of concern of a reference disease associated immunogen. The method uses a language model to perform inference on data representing each of a plurality of variants and data representing the reference immunogen. For each of the plurality of variants and the reference immunogen, a characteristic vector is derived from an output feature map of a hidden layer of the language model. For each of the plurality of variants, a measure of distance is generated for the variant that includes calculating a measure of distance between the characteristic vector of the variant and the characteristic vector of the reference immunogen. A semantic change score is calculated for each variant based on the generated measure of distance for that variant. A variant of the reference immunogen is selected based, at least in part, on the generated the semantic change scores.