Abstract: The present invention provides, among other things, modified recombinant HA polypeptides with broadened immunogenic profile that extends coverage to antigenically distinct influenza strains and methods of making and using the same.

Abstract: The present disclosure provides antigenic prefusion hMPV F polypeptides, nucleic acid sequences (e.g., RNA sequences, e.g., mRNA sequences) encoding prefusion hMPV F polypeptides, compositions comprising antigenic prefusion hMPV F polypeptides, compositions comprising nucleic acid sequences encoding prefusion hMPV F polypeptides, and hMPV vaccines.

Abstract: The present disclosure relates to a cluster-based consensus approach for generating recombinant hemagglutinin (HA) polypeptides. The disclosure further relates to influenza vaccine compositions comprising the recombinant HA polypeptides.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered H1N1 influenza hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple H1N1 viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered H1N1 influenza hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple H1N1 viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, modified recombinant HA polypeptides with broadened immunogenic profile that extends coverage to antigenically distinct influenza strains and methods of making and using the same.

Abstract: The present invention provides, among other things, modified recombinant HA polypeptides with broadened immunogenic profile that extends coverage to antigenically distinct influenza strains and methods of making and using the same.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered influenza B hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple influenza B viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present disclosure relates to a cluster-based consensus approach for generating recombinant hemagglutinin (HA) polypeptides. The disclosure further relates to influenza vaccine compositions comprising the recombinant HA polypeptides.

Abstract: Systems and methods can apply machine learning techniques to predict biological responses. One of the methods is performed by at least one processor executing executable logic including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data.

Abstract: The present disclosure relates to a cluster-based consensus approach for generating recombinant neuraminidase (NA) polypeptides. The disclosure further relates to influenza vaccine compositions comprising the recombinant NA polypeptides.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered influenza B hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple influenza B viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered H1N1 influenza hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple H1N1 viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, modified recombinant HA polypeptides with broadened immunogenic profile that extends coverage to antigenically distinct influenza strains and methods of making and using the same.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered H1N1 influenza hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple H1N1 viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered influenza B hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple influenza B viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.

Abstract: The present invention provides, among other things, a novel and improved method for generating “mosaic” influenza antigenic polypeptides including hemagglutinin (HA) and neuraminidase (NA) polypeptides based on unique combination of epitope patterns that maximize exposure to epitopes present across multiple HA or NA sequences and therefore improved influenza strain coverage. In particular, the present invention provides engineered H1N1 influenza hemagglutinin (HA) polypeptides that are comprised of novel combinations of protective epitopes and antigenic regions from multiple H1N1 viral strains. Such engineered HA polypeptides have improved properties over HA polypeptides developed through conventional approaches that rely on consensus alignments of viral sequences.